Founded in 2004 as the principal source of music for DJs, Beatport today is the worldwide home of electronic music for DJs, producers, and their fans. The Beatport Store offers music in premium digital formats and provides unique music discovery tools created for and by DJs. Each week, Beatport's music collection is refreshed with hundreds of exclusive tracks by the world's top electronic music artists. Beatport has offices in Denver, Los Angeles and Berlin.
About the Job:
As a BI Engineer at Beatport, you will be a member of the Business Intelligence team, part of the Business Operations department. You will be responsible for providing actionable insights and analytical support to our business, product, marketing and finance teams. You will handle data requests from Beatport stakeholders as well as ensure the quality of the underlying data. You will also coordinate with Beatport stakeholders to identify and develop reporting requirements.
Beatport operates a download store and a subscription service with its own data and business analysis needs and has ambitious plan to develop its platform. Our Data Analyst must be business minded and passionate about diving into and making sense of large, diverse datasets.
We are looking for someone who:
Has a minimum of four years experience in a data analytics or similar field
Has a Bachelor / Master degree in analytical discipline e.g. Maths, Physics, Computer Science or equivalent
Is eager to learn about various way to analyze our business notably market analysis, user behavior, customer cohort and churn rate, product KPIs, A/B testing
Is proficient with SQL, enjoys scripting and working with data - ability to produce complex queries optimized for performance
Is detail oriented, care about the way data are presented: creating graphs, reports and presentations of analytical findings as well as creating clear and maintainable automated dashboards
Can develop insights and summarize data to all levels of management
Proficient in MS Excel / Google spreadsheets, web analytics tools like Google Analytics, data visualization tools (similar to Looker, Tableau)
Can find ways to gather data from various websites, APIs, spreadsheets, etc.
Can support Digital Marketing: customer journey analysis, marketing channel deep dive (performance)
Is a good communicator and enjoys working with teams of smart people
Is fluent in English
It would be great if you:
Have worked in a similar role for an entertainment / media / music company
Have a strong interest in the dance music and the music industry as a whole
Can work in at least one scripting language (Python, R, etc)
Have some Web development experience
Have some Project / Product management experience
Enjoy electronic dance music
To apply:
Please send a resume, and a short note introducing yourself and why this position appeals to you.
EQUAL EMPLOYMENT OPPORTUNITY
LiveStyle strongly supports equal employment opportunity for all applicants regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by state or federal law.
HIRING PRACTICES
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.
LiveStyle’s recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. LiveStyle may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, Internet recruiting, job fairs, college recruiting and search firms.
Aug 19, 2019
Full time
Founded in 2004 as the principal source of music for DJs, Beatport today is the worldwide home of electronic music for DJs, producers, and their fans. The Beatport Store offers music in premium digital formats and provides unique music discovery tools created for and by DJs. Each week, Beatport's music collection is refreshed with hundreds of exclusive tracks by the world's top electronic music artists. Beatport has offices in Denver, Los Angeles and Berlin.
About the Job:
As a BI Engineer at Beatport, you will be a member of the Business Intelligence team, part of the Business Operations department. You will be responsible for providing actionable insights and analytical support to our business, product, marketing and finance teams. You will handle data requests from Beatport stakeholders as well as ensure the quality of the underlying data. You will also coordinate with Beatport stakeholders to identify and develop reporting requirements.
Beatport operates a download store and a subscription service with its own data and business analysis needs and has ambitious plan to develop its platform. Our Data Analyst must be business minded and passionate about diving into and making sense of large, diverse datasets.
We are looking for someone who:
Has a minimum of four years experience in a data analytics or similar field
Has a Bachelor / Master degree in analytical discipline e.g. Maths, Physics, Computer Science or equivalent
Is eager to learn about various way to analyze our business notably market analysis, user behavior, customer cohort and churn rate, product KPIs, A/B testing
Is proficient with SQL, enjoys scripting and working with data - ability to produce complex queries optimized for performance
Is detail oriented, care about the way data are presented: creating graphs, reports and presentations of analytical findings as well as creating clear and maintainable automated dashboards
Can develop insights and summarize data to all levels of management
Proficient in MS Excel / Google spreadsheets, web analytics tools like Google Analytics, data visualization tools (similar to Looker, Tableau)
Can find ways to gather data from various websites, APIs, spreadsheets, etc.
Can support Digital Marketing: customer journey analysis, marketing channel deep dive (performance)
Is a good communicator and enjoys working with teams of smart people
Is fluent in English
It would be great if you:
Have worked in a similar role for an entertainment / media / music company
Have a strong interest in the dance music and the music industry as a whole
Can work in at least one scripting language (Python, R, etc)
Have some Web development experience
Have some Project / Product management experience
Enjoy electronic dance music
To apply:
Please send a resume, and a short note introducing yourself and why this position appeals to you.
EQUAL EMPLOYMENT OPPORTUNITY
LiveStyle strongly supports equal employment opportunity for all applicants regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by state or federal law.
HIRING PRACTICES
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.
LiveStyle’s recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. LiveStyle may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, Internet recruiting, job fairs, college recruiting and search firms.
Founded in 2004 as the principal source of music for DJs, Beatport today is the worldwide home of electronic music for DJs, producers, and their fans. The Beatport Store offers music in premium digital formats and provides unique music discovery tools created for and by DJs. Each week, Beatport's music collection is refreshed with hundreds of exclusive tracks by the world's top electronic music artists. Beatport has offices in Denver, Los Angeles and Berlin.
About the Job:
As a BI Engineer at Beatport, you will be a member of the Business Intelligence team, part of the Business Operations department. You will be responsible for providing actionable insights and analytical support to our business, product, marketing and finance teams. You will handle data requests from Beatport stakeholders as well as ensure the quality of the underlying data. You will also coordinate with Beatport stakeholders to identify and develop reporting requirements.
Beatport operates a download store and a subscription service with its own data and business analysis needs and has ambitious plan to develop its platform. Our Data Analyst must be business minded and passionate about diving into and making sense of large, diverse datasets.
We are looking for someone who:
Has a minimum of four years experience in a data analytics or similar field
Has a Bachelor / Master degree in analytical discipline e.g. Maths, Physics, Computer Science or equivalent
Is eager to learn about various way to analyze our business notably market analysis, user behavior, customer cohort and churn rate, product KPIs, A/B testing
Is proficient with SQL, enjoys scripting and working with data - ability to produce complex queries optimized for performance
Is detail oriented, care about the way data are presented: creating graphs, reports and presentations of analytical findings as well as creating clear and maintainable automated dashboards
Can develop insights and summarize data to all levels of management
Proficient in MS Excel / Google spreadsheets, web analytics tools like Google Analytics, data visualization tools (similar to Looker, Tableau)
Can find ways to gather data from various websites, APIs, spreadsheets, etc.
Can support Digital Marketing: customer journey analysis, marketing channel deep dive (performance)
Is a good communicator and enjoys working with teams of smart people
Is fluent in English
It would be great if you:
Have worked in a similar role for an entertainment / media / music company
Have a strong interest in the dance music and the music industry as a whole
Can work in at least one scripting language (Python, R, etc)
Have some Web development experience
Have some Project / Product management experience
Enjoy electronic dance music
To apply:
Please send a resume, and a short note introducing yourself and why this position appeals to you.
EQUAL EMPLOYMENT OPPORTUNITY
LiveStyle strongly supports equal employment opportunity for all applicants regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by state or federal law.
HIRING PRACTICES
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.
LiveStyle’s recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. LiveStyle may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, Internet recruiting, job fairs, college recruiting and search firms.
Aug 19, 2019
Full time
Founded in 2004 as the principal source of music for DJs, Beatport today is the worldwide home of electronic music for DJs, producers, and their fans. The Beatport Store offers music in premium digital formats and provides unique music discovery tools created for and by DJs. Each week, Beatport's music collection is refreshed with hundreds of exclusive tracks by the world's top electronic music artists. Beatport has offices in Denver, Los Angeles and Berlin.
About the Job:
As a BI Engineer at Beatport, you will be a member of the Business Intelligence team, part of the Business Operations department. You will be responsible for providing actionable insights and analytical support to our business, product, marketing and finance teams. You will handle data requests from Beatport stakeholders as well as ensure the quality of the underlying data. You will also coordinate with Beatport stakeholders to identify and develop reporting requirements.
Beatport operates a download store and a subscription service with its own data and business analysis needs and has ambitious plan to develop its platform. Our Data Analyst must be business minded and passionate about diving into and making sense of large, diverse datasets.
We are looking for someone who:
Has a minimum of four years experience in a data analytics or similar field
Has a Bachelor / Master degree in analytical discipline e.g. Maths, Physics, Computer Science or equivalent
Is eager to learn about various way to analyze our business notably market analysis, user behavior, customer cohort and churn rate, product KPIs, A/B testing
Is proficient with SQL, enjoys scripting and working with data - ability to produce complex queries optimized for performance
Is detail oriented, care about the way data are presented: creating graphs, reports and presentations of analytical findings as well as creating clear and maintainable automated dashboards
Can develop insights and summarize data to all levels of management
Proficient in MS Excel / Google spreadsheets, web analytics tools like Google Analytics, data visualization tools (similar to Looker, Tableau)
Can find ways to gather data from various websites, APIs, spreadsheets, etc.
Can support Digital Marketing: customer journey analysis, marketing channel deep dive (performance)
Is a good communicator and enjoys working with teams of smart people
Is fluent in English
It would be great if you:
Have worked in a similar role for an entertainment / media / music company
Have a strong interest in the dance music and the music industry as a whole
Can work in at least one scripting language (Python, R, etc)
Have some Web development experience
Have some Project / Product management experience
Enjoy electronic dance music
To apply:
Please send a resume, and a short note introducing yourself and why this position appeals to you.
EQUAL EMPLOYMENT OPPORTUNITY
LiveStyle strongly supports equal employment opportunity for all applicants regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by state or federal law.
HIRING PRACTICES
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.
LiveStyle’s recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. LiveStyle may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, Internet recruiting, job fairs, college recruiting and search firms.
As an Applied Scientist, you will transform the way people enjoy music through personalized recommendations, search results or songs sequencing. You will collaborate with scientists and engineers to design and evaluate new machine learning models using audio features, meta-data, search queries or customer's listening behavior to create a personalized customer experience. Amazon Music is looking for an Applied Scientist in Berlin with strong software development skills as we build a team of talented and passionated applied scientists to personalized the customer experience of Amazon Music. Our mission is to push the envelope in music recommendation and personalization. As an Applied Scientist, you will participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning. You will work with software developers and other teams to design and implement statistical models for recommending the right music at the right time considering context and behavior of a customer. Imagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up.
BASIC QUALIFICATIONS
· PhD in Computer Sciences, Mathematics, or Statistics with specialization in machine learning. · 2+ years of hands-on experience in predictive modeling and analysis, and in deploying machine learning models in production. · 3+ years of hands-on experience in programming languages such as Java and Python
PREFERRED QUALIFICATIONS
· PhD with specialization in machine learning with at least 5 years of related work experience. · Strong software development skills. · Experience working effectively with science, data processing, and software engineering teams. · Proven track record of innovation in creating novel algorithms and advancing the state of the art. · Entrepreneurial spirit combined with strong problem solving skills. · Previous experience with methods in the Reinforcement Learning space (for example, Multi-Armed Bandits). · Strong publication record in top tier ML conferences (NIPS, ICML, AISTATS, etc.). “We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.”
Aug 09, 2019
Full time
As an Applied Scientist, you will transform the way people enjoy music through personalized recommendations, search results or songs sequencing. You will collaborate with scientists and engineers to design and evaluate new machine learning models using audio features, meta-data, search queries or customer's listening behavior to create a personalized customer experience. Amazon Music is looking for an Applied Scientist in Berlin with strong software development skills as we build a team of talented and passionated applied scientists to personalized the customer experience of Amazon Music. Our mission is to push the envelope in music recommendation and personalization. As an Applied Scientist, you will participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning. You will work with software developers and other teams to design and implement statistical models for recommending the right music at the right time considering context and behavior of a customer. Imagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up.
BASIC QUALIFICATIONS
· PhD in Computer Sciences, Mathematics, or Statistics with specialization in machine learning. · 2+ years of hands-on experience in predictive modeling and analysis, and in deploying machine learning models in production. · 3+ years of hands-on experience in programming languages such as Java and Python
PREFERRED QUALIFICATIONS
· PhD with specialization in machine learning with at least 5 years of related work experience. · Strong software development skills. · Experience working effectively with science, data processing, and software engineering teams. · Proven track record of innovation in creating novel algorithms and advancing the state of the art. · Entrepreneurial spirit combined with strong problem solving skills. · Previous experience with methods in the Reinforcement Learning space (for example, Multi-Armed Bandits). · Strong publication record in top tier ML conferences (NIPS, ICML, AISTATS, etc.). “We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.”
Xceed
WeWork offices, Carrer de Tànger, Barcelona, Spain
Who we are
Xceed is a venture-backed startup headquartered in Barcelona, on a mission to facilitate the interaction between people and businesses around music experiences and to transform the way over 3 million people access nightlife events worldwide.
Recognised as the Apple top 100 Apps of 2016 in the world and the fastest growing start-up in Spain last year according to Tech5, our team puts Technology & Design at the core of the company culture. As such, every member of the team is involved in the product development activities having a real impact on the company.
Who we need
Currently, we are on the lookout for a hardworking and passionate intern, ideally with first industry experience, to work and learn alongside our Data team at our winning HQ in Barcelona.
Xceed Discover Program
The Xceed Discover Program is an accelerated development path for top undergraduate and graduate students composed of three modules - initial three months of learning for those with little or no experience, following three months where you will be able to add more value (six months of internship), after which you would be granted a full-time contract should you be successful. With monthly critical metric and soft skills evaluation with your internship mentor, you will receive continuous feedback to know if you are on track to be part of the Xceed family.
What you will do
We understand an internship as a quid pro quo relationship. You will learn first-hand how a Data and Business Intelligence department in a tech startup works and you will help the company to complete various tasks you are capable or willing to learn how to do.
For this specific internship program, we are looking for a person who will help our Business Intelligence department to transform data into meaningful conclusions to be used in decision-making processes. On the other hand, with your support, we will start leveraging data to provide our B2B clients the reports and guidelines on how to better manage and organise their events to maximise profits. For this reason, we are looking for an analytical profile that would like to use their technical data skills while you learn about the business and how data is managed in a top VC-backed startup.
You’ll report directly to the Chief Data Officer and interact with several of the company’s departments.
Your skills and attitude
• Passion for the field is hugely important in this or any other of our roles • Results orientation - you understand that analysing data is important primarily with the goal of helping the business with the decision-making process • Excellent problem-solving skills • Strong communication skills and business acumen • Proactive attitude and critical mind • Deep understanding of relational databases • Proficiency with SQL • Working knowledge of R/Python • Any experience with BI tools (Tableau, etc.) will be a bonus point • Bachelor’s degree in a field linked to Data Engineering, Business Analytics, Applied Mathematics or Computer Science, Statistics. PhD or a Master’s Degree are strongly preferred. • It is mandatory to be able to make an internship agreement with your school for at least 6 months
What we value
• A real teammate spirit with the ability to dedicatedly participate in international & multi-functional teams • Ambition, high-achiever mentality - you never settle for mediocrity and strive to excel • Flexibility - we love challenges and adapt to business needs - when necessary, we are able to work under stress and multi-task to meet our goals, and have fun when the times are easy!
Why Xceed will be your favorite team
• Ambitious, dynamic and fun company culture with linear management and short decision-making lines • A hardworking, curious and passionate team that is also friends outside the working hours • Casual, young and multicultural mindset • Ticket Restaurant (a restaurant card) • Flexible working hours with the possibility of remote office several times per month • A new, trendy and luminous office located at 22@ - The Innovation District of Barcelona • A premium WeWork membership – access any WeWork office around the world • Free breakfast every Monday, free coffee, tea and beer all week • Happy Hour every Thursday • Yoga, external speakers and other activities in the building • Relax areas, table football & a rooftop terrace • Free tickets for every party in town • Team Getaways & other team activities • Autonomy, vast opportunities to learn and grow • Space to give your ideas and experiment
At Xceed we offer equal opportunities - all qualifying applications will receive consideration for employment regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age.
Aug 07, 2019
Paid Internship
Who we are
Xceed is a venture-backed startup headquartered in Barcelona, on a mission to facilitate the interaction between people and businesses around music experiences and to transform the way over 3 million people access nightlife events worldwide.
Recognised as the Apple top 100 Apps of 2016 in the world and the fastest growing start-up in Spain last year according to Tech5, our team puts Technology & Design at the core of the company culture. As such, every member of the team is involved in the product development activities having a real impact on the company.
Who we need
Currently, we are on the lookout for a hardworking and passionate intern, ideally with first industry experience, to work and learn alongside our Data team at our winning HQ in Barcelona.
Xceed Discover Program
The Xceed Discover Program is an accelerated development path for top undergraduate and graduate students composed of three modules - initial three months of learning for those with little or no experience, following three months where you will be able to add more value (six months of internship), after which you would be granted a full-time contract should you be successful. With monthly critical metric and soft skills evaluation with your internship mentor, you will receive continuous feedback to know if you are on track to be part of the Xceed family.
What you will do
We understand an internship as a quid pro quo relationship. You will learn first-hand how a Data and Business Intelligence department in a tech startup works and you will help the company to complete various tasks you are capable or willing to learn how to do.
For this specific internship program, we are looking for a person who will help our Business Intelligence department to transform data into meaningful conclusions to be used in decision-making processes. On the other hand, with your support, we will start leveraging data to provide our B2B clients the reports and guidelines on how to better manage and organise their events to maximise profits. For this reason, we are looking for an analytical profile that would like to use their technical data skills while you learn about the business and how data is managed in a top VC-backed startup.
You’ll report directly to the Chief Data Officer and interact with several of the company’s departments.
Your skills and attitude
• Passion for the field is hugely important in this or any other of our roles • Results orientation - you understand that analysing data is important primarily with the goal of helping the business with the decision-making process • Excellent problem-solving skills • Strong communication skills and business acumen • Proactive attitude and critical mind • Deep understanding of relational databases • Proficiency with SQL • Working knowledge of R/Python • Any experience with BI tools (Tableau, etc.) will be a bonus point • Bachelor’s degree in a field linked to Data Engineering, Business Analytics, Applied Mathematics or Computer Science, Statistics. PhD or a Master’s Degree are strongly preferred. • It is mandatory to be able to make an internship agreement with your school for at least 6 months
What we value
• A real teammate spirit with the ability to dedicatedly participate in international & multi-functional teams • Ambition, high-achiever mentality - you never settle for mediocrity and strive to excel • Flexibility - we love challenges and adapt to business needs - when necessary, we are able to work under stress and multi-task to meet our goals, and have fun when the times are easy!
Why Xceed will be your favorite team
• Ambitious, dynamic and fun company culture with linear management and short decision-making lines • A hardworking, curious and passionate team that is also friends outside the working hours • Casual, young and multicultural mindset • Ticket Restaurant (a restaurant card) • Flexible working hours with the possibility of remote office several times per month • A new, trendy and luminous office located at 22@ - The Innovation District of Barcelona • A premium WeWork membership – access any WeWork office around the world • Free breakfast every Monday, free coffee, tea and beer all week • Happy Hour every Thursday • Yoga, external speakers and other activities in the building • Relax areas, table football & a rooftop terrace • Free tickets for every party in town • Team Getaways & other team activities • Autonomy, vast opportunities to learn and grow • Space to give your ideas and experiment
At Xceed we offer equal opportunities - all qualifying applications will receive consideration for employment regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age.
What's next in music is first on SoundCloud. As the world’s largest open audio platform, SoundCloud is powered by a connected community of creators, listeners and curators who share, discover and influence what’s new, now and next in music and audio. We're looking for exceptional Data Scientists to join our Data Science team in New York. As a keen analytical intellect and sharp commercial mind, you will work closely with key leaders across a broad array of impactful topics and directly help shape SoundCloud’s Product and Business Strategy.
About the role
You will be part of the Strategy & Analytics team at SoundCloud which focusses on informing company strategy through in-depth understanding of user behaviour/product/content dynamics and generating strategic value from SC’s vast data asset. You will be responsible for conducting behavioral analyses, designing, running and interpreting experiments, creating analytical frameworks, designing dashboards and building predictive models in order to inform decision making in a series of complex product and business problems and ultimately elevate SoundCloud’s ability to compete.
On a daily basis you will help guide decisions with quantitative insights into user behavior, content and product dynamics. Our stack includes a wide variety of technologies such as BigQuery, Python, Spark and Tableau.
Some topics you might be working on:
Explore user engagement and retention to underpin growth strategies;
Analyse A/B tests for new feature development or business model evolution;
Develop foundational analytical frameworks to optimize lifecycle management for our subscription businesses;
Work hand in hand with engineering teams to define data driven tracking for our new features.
About You
You are an experienced Data Scientist with minimum 3 years experience who excels at analytical thinking, and brings strong commercial and product intuition along with sound technical knowledge and fantastic storytelling skills.
You feel comfortable writing SQL queries and Python code and you are willing to embrace new technologies.
You have a background in a quantitative field (mathematics, computer science with strong academic record preferred) and a track record of applying statistical inference and engineering in real world data science problems (ideally in a global b2c product in the digital space). You enjoy working closely with teams and you want to make a real impact on the company, in the world of music and creative expression.
Jul 29, 2019
Full time
What's next in music is first on SoundCloud. As the world’s largest open audio platform, SoundCloud is powered by a connected community of creators, listeners and curators who share, discover and influence what’s new, now and next in music and audio. We're looking for exceptional Data Scientists to join our Data Science team in New York. As a keen analytical intellect and sharp commercial mind, you will work closely with key leaders across a broad array of impactful topics and directly help shape SoundCloud’s Product and Business Strategy.
About the role
You will be part of the Strategy & Analytics team at SoundCloud which focusses on informing company strategy through in-depth understanding of user behaviour/product/content dynamics and generating strategic value from SC’s vast data asset. You will be responsible for conducting behavioral analyses, designing, running and interpreting experiments, creating analytical frameworks, designing dashboards and building predictive models in order to inform decision making in a series of complex product and business problems and ultimately elevate SoundCloud’s ability to compete.
On a daily basis you will help guide decisions with quantitative insights into user behavior, content and product dynamics. Our stack includes a wide variety of technologies such as BigQuery, Python, Spark and Tableau.
Some topics you might be working on:
Explore user engagement and retention to underpin growth strategies;
Analyse A/B tests for new feature development or business model evolution;
Develop foundational analytical frameworks to optimize lifecycle management for our subscription businesses;
Work hand in hand with engineering teams to define data driven tracking for our new features.
About You
You are an experienced Data Scientist with minimum 3 years experience who excels at analytical thinking, and brings strong commercial and product intuition along with sound technical knowledge and fantastic storytelling skills.
You feel comfortable writing SQL queries and Python code and you are willing to embrace new technologies.
You have a background in a quantitative field (mathematics, computer science with strong academic record preferred) and a track record of applying statistical inference and engineering in real world data science problems (ideally in a global b2c product in the digital space). You enjoy working closely with teams and you want to make a real impact on the company, in the world of music and creative expression.
What's next in music happens on SoundCloud first. As the world’s largest open audio platform, SoundCloud is powered by a connected community of creators, listeners and curators who share, discover and influence what’s new, now and next in music and audio.
We are looking for an impact-driven embedded Data Scientist to solve exciting problems in search using Machine Learning. As a Data Scientist on Search at SoundCloud you will take the lead on refining the search experience using your expertise in information retrieval and machine learning. You will work closely with other data scientists and engineers to find opportunities, build, tune, instrument, and evaluate machine learning models.
Our Data Scientists work on a wide range of products and problems, embedded with engineering teams having direct impact on our millions of daily active users. We want people that come equipped with an open mind, creativity and a get-it-done attitude.
About the role
In this role you will be responsible for leading the efforts to build data products and internal solutions for some of the hardest problems, mainly in search and recommendations. You will see projects through from start to finish performing research, prototyping solutions, production deployment at scale and A/B testing to validate your solutions. We love specialists with deep experience, and we expect to use that experience alongside a Data Scientist’s ability to be general and tackle a wide range of problem areas.
Some projects you might work on include:
Build and evaluate ranking models to improve the search experience of our users;
Analyse user journeys and derive success metrics to support product decisions;
Applying natural language processing (NLP) techniques to search queries to better understand user-intent and misspellings;
About You
You are a Senior Data Scientist with a curious analytical mindset, experience with software engineering, and a track record of shipping search solutions at large scale. You have a broad toolkit that spans languages and runtimes, and you can get up-to-speed with new tech stacks quickly. You enjoy working cross-functional with Engineers, Product Managers and peer Data Scientists. You have:
You have a Ph.D. or M.Sc. in a quantitative field (Statistics, Machine Learning, AI, Computer Science, Physics, Mathematics, etc.) or demonstrated industry experience productionizing machine learning algorithms.
A minimum of 5 years of experience in a full-time industry position (not academic).
A deep understanding of the lifecycle of a Data Science project, with experience in research, solution development, tuning and inspecting models, etc.
Experienced with Elasticsearch and wrangling very large datasets by writing and maintaining data processing pipelines with Hadoop, Spark, BigQuery, Redshift, or similar.
Strong engineering background, with experience with Scala, Python or similar languages that are used to ship production models and systems.
You have solid analytical capabilities; you know not just how to solve problems with machine learning but also where and when.
An ability to tell a story about data, to explore and reveal patterns, and to communicate to stakeholders about your discoveries and hypothesis.
Worked in cross-functional teams and are able to work in multiple parts of a tech stack.
You value the soft-side of applied research (e.g. communication, mentorship, team-work).
You are excited by the opportunity to directly impact the daily experience and happiness of millions of people around the world.
Jul 29, 2019
Full time
What's next in music happens on SoundCloud first. As the world’s largest open audio platform, SoundCloud is powered by a connected community of creators, listeners and curators who share, discover and influence what’s new, now and next in music and audio.
We are looking for an impact-driven embedded Data Scientist to solve exciting problems in search using Machine Learning. As a Data Scientist on Search at SoundCloud you will take the lead on refining the search experience using your expertise in information retrieval and machine learning. You will work closely with other data scientists and engineers to find opportunities, build, tune, instrument, and evaluate machine learning models.
Our Data Scientists work on a wide range of products and problems, embedded with engineering teams having direct impact on our millions of daily active users. We want people that come equipped with an open mind, creativity and a get-it-done attitude.
About the role
In this role you will be responsible for leading the efforts to build data products and internal solutions for some of the hardest problems, mainly in search and recommendations. You will see projects through from start to finish performing research, prototyping solutions, production deployment at scale and A/B testing to validate your solutions. We love specialists with deep experience, and we expect to use that experience alongside a Data Scientist’s ability to be general and tackle a wide range of problem areas.
Some projects you might work on include:
Build and evaluate ranking models to improve the search experience of our users;
Analyse user journeys and derive success metrics to support product decisions;
Applying natural language processing (NLP) techniques to search queries to better understand user-intent and misspellings;
About You
You are a Senior Data Scientist with a curious analytical mindset, experience with software engineering, and a track record of shipping search solutions at large scale. You have a broad toolkit that spans languages and runtimes, and you can get up-to-speed with new tech stacks quickly. You enjoy working cross-functional with Engineers, Product Managers and peer Data Scientists. You have:
You have a Ph.D. or M.Sc. in a quantitative field (Statistics, Machine Learning, AI, Computer Science, Physics, Mathematics, etc.) or demonstrated industry experience productionizing machine learning algorithms.
A minimum of 5 years of experience in a full-time industry position (not academic).
A deep understanding of the lifecycle of a Data Science project, with experience in research, solution development, tuning and inspecting models, etc.
Experienced with Elasticsearch and wrangling very large datasets by writing and maintaining data processing pipelines with Hadoop, Spark, BigQuery, Redshift, or similar.
Strong engineering background, with experience with Scala, Python or similar languages that are used to ship production models and systems.
You have solid analytical capabilities; you know not just how to solve problems with machine learning but also where and when.
An ability to tell a story about data, to explore and reveal patterns, and to communicate to stakeholders about your discoveries and hypothesis.
Worked in cross-functional teams and are able to work in multiple parts of a tech stack.
You value the soft-side of applied research (e.g. communication, mentorship, team-work).
You are excited by the opportunity to directly impact the daily experience and happiness of millions of people around the world.
What's next in music happens on SoundCloud first. As the world’s largest open audio platform, SoundCloud is powered by a connected community of creators, listeners and curators who share, discover and influence what’s new, now and next in music and audio.
We are looking for an impact-driven Data Scientist to solve exciting problems in recommendations and personalization using Machine Learning. Our team builds and maintains systems that empower our users to actively and easily discover SoundCloud's huge and unique catalog of music and audio. You will lead efforts to improve the discover experience with respect to recommendations algorithms, user assistance and user interface in order to enable listeners to discover hidden gems.
Our Data Scientists work on a wide range of products and problems, embedded with engineering teams having direct impact on our millions of daily active users. We want people that come equipped with an open mind, creativity and a get-it-done attitude.
About the role
In this role you will be responsible for leading the efforts to build data products and internal solutions for algorithmic discovery. You will see projects through from start to finish performing research, prototyping solutions, production deployment at scale and A/B testing to validate your solutions. We love specialists with deep experience, and we expect to use that experience alongside a Data Scientist’s ability to be general and tackle a wide range of problem areas.
Some projects you might work on include:
Iterate on existing recommendation products to improve quality (e.g. SoundCloud Weekly, More of What You Like, Artists You Should Know)
Build recommendation models to empower curation at SoundCloud
Advance existing recommendation models by fueling them with curated data
Harness the power of the ever increasing data at SoundCloud to build new personalized products
Work closely with the Search team on discovery / personalization topics
Analyse user journeys and derive success metrics to support product decisions
About You
You are a Data Scientist with a curious analytical mindset, experience with software engineering, and a track record of shipping solutions at large scale. You have a broad toolkit that spans languages and runtimes, and you can get up-to-speed with new tech stacks quickly. You enjoy working cross-functional with Engineers, Product Managers and peer Data Scientists. You have:
A Ph.D. or M.Sc. in a quantitative field (Statistics, Machine Learning, AI, Computer Science, Physics, Mathematics, etc.) or demonstrated industry experience productionizing machine learning algorithms
A minimum of 5 years of experience in a full-time industry position (not academic) in implementing, evaluating and optimizing recommender systems in different domains. You understand the different objectives a recommender system might have and the best approach for each scenario.
A deep understanding of the lifecycle of a Data Science project, with experience in research, solution development, tuning and inspecting models, etc.
Experience wrangling very large datasets by writing and maintaining data processing pipelines with Hadoop, Spark, BigQuery, Redshift, or similar
Strong engineering background, with experience with Scala, Python or similar languages that are used to ship production models and systems
You have solid analytical capabilities; you know not just how to solve problems with machine learning but also where and when
Worked in cross-functional teams and are able to work in multiple parts of a tech stack
You're able to research and implement the appropriate state of the art algorithms/solutions to the business problems at hand
You value the soft-side of applied research (e.g. communication, mentorship, team-work)
You are excited by the opportunity to directly impact the daily experience and happiness of millions of people around the world.
Jul 29, 2019
Full time
What's next in music happens on SoundCloud first. As the world’s largest open audio platform, SoundCloud is powered by a connected community of creators, listeners and curators who share, discover and influence what’s new, now and next in music and audio.
We are looking for an impact-driven Data Scientist to solve exciting problems in recommendations and personalization using Machine Learning. Our team builds and maintains systems that empower our users to actively and easily discover SoundCloud's huge and unique catalog of music and audio. You will lead efforts to improve the discover experience with respect to recommendations algorithms, user assistance and user interface in order to enable listeners to discover hidden gems.
Our Data Scientists work on a wide range of products and problems, embedded with engineering teams having direct impact on our millions of daily active users. We want people that come equipped with an open mind, creativity and a get-it-done attitude.
About the role
In this role you will be responsible for leading the efforts to build data products and internal solutions for algorithmic discovery. You will see projects through from start to finish performing research, prototyping solutions, production deployment at scale and A/B testing to validate your solutions. We love specialists with deep experience, and we expect to use that experience alongside a Data Scientist’s ability to be general and tackle a wide range of problem areas.
Some projects you might work on include:
Iterate on existing recommendation products to improve quality (e.g. SoundCloud Weekly, More of What You Like, Artists You Should Know)
Build recommendation models to empower curation at SoundCloud
Advance existing recommendation models by fueling them with curated data
Harness the power of the ever increasing data at SoundCloud to build new personalized products
Work closely with the Search team on discovery / personalization topics
Analyse user journeys and derive success metrics to support product decisions
About You
You are a Data Scientist with a curious analytical mindset, experience with software engineering, and a track record of shipping solutions at large scale. You have a broad toolkit that spans languages and runtimes, and you can get up-to-speed with new tech stacks quickly. You enjoy working cross-functional with Engineers, Product Managers and peer Data Scientists. You have:
A Ph.D. or M.Sc. in a quantitative field (Statistics, Machine Learning, AI, Computer Science, Physics, Mathematics, etc.) or demonstrated industry experience productionizing machine learning algorithms
A minimum of 5 years of experience in a full-time industry position (not academic) in implementing, evaluating and optimizing recommender systems in different domains. You understand the different objectives a recommender system might have and the best approach for each scenario.
A deep understanding of the lifecycle of a Data Science project, with experience in research, solution development, tuning and inspecting models, etc.
Experience wrangling very large datasets by writing and maintaining data processing pipelines with Hadoop, Spark, BigQuery, Redshift, or similar
Strong engineering background, with experience with Scala, Python or similar languages that are used to ship production models and systems
You have solid analytical capabilities; you know not just how to solve problems with machine learning but also where and when
Worked in cross-functional teams and are able to work in multiple parts of a tech stack
You're able to research and implement the appropriate state of the art algorithms/solutions to the business problems at hand
You value the soft-side of applied research (e.g. communication, mentorship, team-work)
You are excited by the opportunity to directly impact the daily experience and happiness of millions of people around the world.
Sony Music Entertainment is a global recorded music company with a roster of current artists that includes a broad array of both local artists and international superstars, as well as a vast catalog that comprises some of the most important recordings in history. Sony Music Entertainment is a wholly owned subsidiary of Sony Corporation of America. Sony Music Entertainment is seeking an individual to help work on initiatives related to The Orchard and its products.
The Orchard is a leading music distribution company operating in over 40 markets worldwide – distributing music from independent artists including Ozuna, Skepta, Jorja Smith, John Prine, and Kelsea Ballerini. With cutting edge operations and an unparalleled global team, The Orchard partners with labels of all sizes to make their music and video available across hundreds of digital and physical retailers around the world. At The Orchard, the focus is to provide a comfortable, social and engaging environment to encourage productivity and creativity.
We are looking for a Product Manager - Data & Analytics to join our talented product, design & engineering team.
Responsibilities
Drive product vision, roadmap and goals for our core data & analytics products.
Develop a clear product roadmap based on market and user research with the appropriate business cases and data to back it up.
Act as the product owner for an agile development team focusing on executing the roadmap from conceptualization to design and development, launch, maintenance and maturity.
Regularly meet with customers to gather feedback and validate future product ideas while strongly representing The Orchard.
Constantly improve customer satisfaction, usability, reliability and operational efficiency by continually monitoring KPIs and finding opportunities to increase engagement and reduce friction across your product.
Present roadmaps, decisions and updates to business and technology stakeholders.
Qualifications
2 to 3 years in a Product role working end-to-end from data ingestion to consumer-facing products.
Able to influence cross-functional teams and create a consensus between stakeholders, product managers, designers and engineers within an agile environment
Strong organizational and analytical skills paired with the ability to drive complex projects.
Proficient in SQL and ability to work in other analytics tools to validate ideas
Strong verbal, written and visual communication skills.
Bonus Points:
Experience working within the digital music industry
Proficiency in R or other statistical programming languages
Academic background in math, statistics or computer science
About The Orchard®
The Orchard is a leading music distribution company operating in over 40 markets worldwide. With a comprehensive artist & label services offering including full-service marketing, sync licensing, comprehensive video services, transparent data analysis, advertising, rights management, digital and physical distribution and more, The Orchard empowers creators and businesses to grow and adapt in the dynamic global industry. For further information, visit www.theorchard.com .
The Orchard is committed to providing equal employment opportunity for all persons regardless of age, disability, national origin, race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, veteran or military status, genetic information or any other status protected by applicable federal, state, or local law.
Jul 29, 2019
Full time
Sony Music Entertainment is a global recorded music company with a roster of current artists that includes a broad array of both local artists and international superstars, as well as a vast catalog that comprises some of the most important recordings in history. Sony Music Entertainment is a wholly owned subsidiary of Sony Corporation of America. Sony Music Entertainment is seeking an individual to help work on initiatives related to The Orchard and its products.
The Orchard is a leading music distribution company operating in over 40 markets worldwide – distributing music from independent artists including Ozuna, Skepta, Jorja Smith, John Prine, and Kelsea Ballerini. With cutting edge operations and an unparalleled global team, The Orchard partners with labels of all sizes to make their music and video available across hundreds of digital and physical retailers around the world. At The Orchard, the focus is to provide a comfortable, social and engaging environment to encourage productivity and creativity.
We are looking for a Product Manager - Data & Analytics to join our talented product, design & engineering team.
Responsibilities
Drive product vision, roadmap and goals for our core data & analytics products.
Develop a clear product roadmap based on market and user research with the appropriate business cases and data to back it up.
Act as the product owner for an agile development team focusing on executing the roadmap from conceptualization to design and development, launch, maintenance and maturity.
Regularly meet with customers to gather feedback and validate future product ideas while strongly representing The Orchard.
Constantly improve customer satisfaction, usability, reliability and operational efficiency by continually monitoring KPIs and finding opportunities to increase engagement and reduce friction across your product.
Present roadmaps, decisions and updates to business and technology stakeholders.
Qualifications
2 to 3 years in a Product role working end-to-end from data ingestion to consumer-facing products.
Able to influence cross-functional teams and create a consensus between stakeholders, product managers, designers and engineers within an agile environment
Strong organizational and analytical skills paired with the ability to drive complex projects.
Proficient in SQL and ability to work in other analytics tools to validate ideas
Strong verbal, written and visual communication skills.
Bonus Points:
Experience working within the digital music industry
Proficiency in R or other statistical programming languages
Academic background in math, statistics or computer science
About The Orchard®
The Orchard is a leading music distribution company operating in over 40 markets worldwide. With a comprehensive artist & label services offering including full-service marketing, sync licensing, comprehensive video services, transparent data analysis, advertising, rights management, digital and physical distribution and more, The Orchard empowers creators and businesses to grow and adapt in the dynamic global industry. For further information, visit www.theorchard.com .
The Orchard is committed to providing equal employment opportunity for all persons regardless of age, disability, national origin, race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, veteran or military status, genetic information or any other status protected by applicable federal, state, or local law.
We are seeking a Client Analyst in New York to join our market-leading administrative team. You will join Kobalt’s Client Analysis team - a target-driven, data group that provides Kobalt’s clients with the most transparent and accurate reporting in the music industry. The ideal candidate is highly analytical, detail-oriented and comfortable working with big data and analyzing key trends. This position will work on a variety of projects to produce clear and concise reporting for internal and external contacts. This is a great opportunity for someone who enjoys working with data and problem solving.
BACKGROUND
Kobalt is a music and technology company built for artists, songwriters, publishers and labels as an alternative to the traditional music business model. Kobalt’s commitment to technology, transparency, and creators’ rights has driven tremendous growth year-over-year for the company and its clients. Today, Kobalt’s Music Publishing, Neighbouring Rights, and Recordings/AWAL divisions serve over 25,000 songwriters, 600 publishers, and 20,000 independent artists, including The Chainsmokers, Kelly Clarkson, Miles Davis, Dave Grohl, Lauv, Zayn Malik, Max Martin, Nick Cave & The Bad Seeds, Paul McCartney, Stevie Nicks, Pitbull, Elvis Presley, Skrillex, Sam Smith, and many more. Kobalt represents on average over 40% of the top 100 songs and albums in both the US and UK.
We’re currently over 600 people based across 13 offices and we’re expecting to grow. That’s where you come in. If you feel like the fast-paced, rewarding environment of our rapidly growing company is for you - share your story! Apply today and tell us why you believe in a better music industry and would be the next best addition to our successful team!
WHAT DOES A CLIENT ANALYST AT KOBALT DO?
Use SQL to query the Kobalt database and generate accurate, clean data
Use Excel to produce ad-hoc analyses for internal and external contacts
Analyze and present key trends clearly and concisely using Excel
Provide support to overall team with audits and large client requests
Assist in producing reporting for Kobalt’s clients and senior executives
Manage high priority client requests timely and efficiently
Ability to troubleshoot and provide solutions when needed
WHAT SKILLS AND EXPERIENCE ARE WE LOOKING FOR?
Bachelor’s Degree in a relevant field
2+ years’ experience generating and analyzing data at a music publishing or performing rights society
Strong numerical and analytical skills
Experience with SQL extraction & being able to run queries, modify and adjust scripts
Ability to manipulate and scrutinize large sets of data and provide meaningful analysis
Sensitivity to confidential information and material
Strong in Microsoft Office Suite (advanced proficiency in Excel to analyze large datasets)
Kobalt is an equal opportunity employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, gender, age, religion, disability, sexual orientation, or veteran status, or any other status or characteristic protected by law.
Jul 10, 2019
Full time
We are seeking a Client Analyst in New York to join our market-leading administrative team. You will join Kobalt’s Client Analysis team - a target-driven, data group that provides Kobalt’s clients with the most transparent and accurate reporting in the music industry. The ideal candidate is highly analytical, detail-oriented and comfortable working with big data and analyzing key trends. This position will work on a variety of projects to produce clear and concise reporting for internal and external contacts. This is a great opportunity for someone who enjoys working with data and problem solving.
BACKGROUND
Kobalt is a music and technology company built for artists, songwriters, publishers and labels as an alternative to the traditional music business model. Kobalt’s commitment to technology, transparency, and creators’ rights has driven tremendous growth year-over-year for the company and its clients. Today, Kobalt’s Music Publishing, Neighbouring Rights, and Recordings/AWAL divisions serve over 25,000 songwriters, 600 publishers, and 20,000 independent artists, including The Chainsmokers, Kelly Clarkson, Miles Davis, Dave Grohl, Lauv, Zayn Malik, Max Martin, Nick Cave & The Bad Seeds, Paul McCartney, Stevie Nicks, Pitbull, Elvis Presley, Skrillex, Sam Smith, and many more. Kobalt represents on average over 40% of the top 100 songs and albums in both the US and UK.
We’re currently over 600 people based across 13 offices and we’re expecting to grow. That’s where you come in. If you feel like the fast-paced, rewarding environment of our rapidly growing company is for you - share your story! Apply today and tell us why you believe in a better music industry and would be the next best addition to our successful team!
WHAT DOES A CLIENT ANALYST AT KOBALT DO?
Use SQL to query the Kobalt database and generate accurate, clean data
Use Excel to produce ad-hoc analyses for internal and external contacts
Analyze and present key trends clearly and concisely using Excel
Provide support to overall team with audits and large client requests
Assist in producing reporting for Kobalt’s clients and senior executives
Manage high priority client requests timely and efficiently
Ability to troubleshoot and provide solutions when needed
WHAT SKILLS AND EXPERIENCE ARE WE LOOKING FOR?
Bachelor’s Degree in a relevant field
2+ years’ experience generating and analyzing data at a music publishing or performing rights society
Strong numerical and analytical skills
Experience with SQL extraction & being able to run queries, modify and adjust scripts
Ability to manipulate and scrutinize large sets of data and provide meaningful analysis
Sensitivity to confidential information and material
Strong in Microsoft Office Suite (advanced proficiency in Excel to analyze large datasets)
Kobalt is an equal opportunity employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, gender, age, religion, disability, sexual orientation, or veteran status, or any other status or characteristic protected by law.
Kobalt was founded in 2000 with a mission: Make the music industry fairer and rewarding for creators.
We wanted to give creators, our artists, songwriters, musicians, labels and publishers, the freedom and transparency they needed to build their careers.
Today, Kobalt does exactly that. Our music technology services including Publishing, Recordings, Synchronization and the world’s first Global Digital Collection Society are trusted by some of the world’s greatest artists, and we represent more than 40% of the top 100 songs and albums in the U.S. and U.K. And it’s not just the big names we help. Our open platform allows new and upcoming artists and writers all over the world to get access to invaluable insights that help boost their musical careers.
SCALING UP
Having undergone difficult times in the late 90s due to piracy, the music industry resurged due to streaming and curated online services and is now on a path of explosive growth as music becomes more ubiquitous than ever and distributed all over the world. Furthermore, data is today generated and collected at an unprecedented rate, through social media, marketing and other digital platforms.
As leaders in music technology, we are riding a rapid growth wave and scaling our systems and products to cope with current and future demand, while also building new innovative products that not only enable better decision making, increased efficiency but also help maximise revenue for creators.
WHAT IS IT LIKE TO BE AN ENGINEER AT KOBALT
We are passionate about our teams and hiring great talent. We are looking for engaged and sharp Engineers at all levels to support us with our growth ambitious.
As an engineer at Kobalt you’ll be involved in the whole development life cycle starting with planning and road mapping sessions with the product team, writing clean, scalable and fully tested code.
Our new developers are always mentored by an existing and more experienced member of the team and have access to an extensive range of learning materials ranging from a free Udemy account to access to a library of online e-books and audiobooks.
As a technology company we are also committed to sharing our knowledge and experiences with the wider technology community through monthly technology and diversity focussed events.
HOW DOES THIS ROLE CONTRIBUTE TO KOBALT?
Our 100 strong engineering team is split into 4 main areas aligning to our core business units - publishing , recordings , digital collections and synch . Each of these areas is split further into smaller product or feature lead teams.
Our engineering teams find creative solutions to solve complex problems that help us provide most innovative ways for creators to distribute their work, collect their royalties, keep track of their streaming data and sync their music to TV, film and advertising opportunities that exists in the music world today.
As a Senior Engineer at Kobalt you will be responsible for working on technology problems ranging from the large scale transformation of a monolith application that processes billions of royalty payments monthly, into scalable, language agnostic services, to using predictive analysis to build recommendation engines that help our Synch team find music to fit briefs from advertising agencies from a catalogue of millions of songs.
Language is not the most important thing to us when we look for Engineers. What is important is that our engineers are curious, adaptable, dependable, always want to learn more, and are able to write clean, tested and reliable code. To begin with, you will likely be coding in Java so some experience of Java or a similar object oriented language will be advantageous.
We follow best practices, test our own code and deploy our own work with the help of our operations team.
Tech we use at Kobalt includes Java, Spark, Python, Scala, Javascript, Node, Go, React, Redux, AWS, Docker, Oracle, SQL (plus loads more)
This is a unique opportunity to be hands on with both the product and the technology whilst helping to shape the future of music for creators .
IDEALLY YOU WILL...
Have a Bachelors or Masters Degree in Computer Science or a related field or equivalent working experience
Be comfortable in multiple development languages (static and dynamic) including Java, and interested in learning more
Have a good understanding of systems design, algorithms, and data structures
Experience with AWS, Google Cloud, or any proprietary clouds
Experience with big data technologies (e.g. Hadoop) and with microservices architecture
Demonstrate a devops-centric approach for delivering high quality and reliable service development, with a test driven approach for delivering clean, tested and reliable code
Have experience of transferring knowledge and mentoring graduates and more junior team members
WHAT YOU WILL GET IN RETURN
A great salary in addition to a generous pension scheme (up to 5% matched)
Peace of mind - we offer comprehensive health cover
A dedicated learning and development team for Tech, Udemy, BookBoon and more
Regular Tech Meetups hosted in the office on a range of topics from Scala to Agile Leadership
Wellbeing - we care about your physical and mental health and offer you subsidised gym memberships, a cycle to work scheme, sports clubs, office yoga, and (almost) daily meditation classes
A great office with everything you need to do your job and enjoy your place of work including fresh fruit and cereal, fantastic open space on our roof and shower facilities
Our infamous Kobalt Socials including quarterly-company wide rooftop parties and regular team socials, beers/wine/soft drinks on a Friday and the odd famous person doing a gig in our kitchen
IMPORTANT NOTICE
Applicants must be eligible to work in the United Kingdom. Verification checks will be conducted during the interview process and a full DBS check on acceptance of offer. Kobalt is an equal opportunity employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, gender, age, religion, disability, sexual orientation, or any other status or characteristic protected by law.
Thank you for choosing to apply for a role at Kobalt! By applying for a role on our website you are allowing Kobalt to collect your personal data and contact you regarding this opportunity. We care about transparency and believe that skill sets can be applied to multiple roles, so we would love to able to get in touch with your regarding other opportunities that may be suitable for you. We will therefore keep the information you supplied to us for one year. We collect your personal data for the purposes of managing Kobalt recruitment related activities and in relation to the evaluation and selection of applicants and as is otherwise needed in the recruitment processes. You can read our Privacy Policy HERE where we outline full details in line with GDPR requirements.
Jul 10, 2019
Full time
Kobalt was founded in 2000 with a mission: Make the music industry fairer and rewarding for creators.
We wanted to give creators, our artists, songwriters, musicians, labels and publishers, the freedom and transparency they needed to build their careers.
Today, Kobalt does exactly that. Our music technology services including Publishing, Recordings, Synchronization and the world’s first Global Digital Collection Society are trusted by some of the world’s greatest artists, and we represent more than 40% of the top 100 songs and albums in the U.S. and U.K. And it’s not just the big names we help. Our open platform allows new and upcoming artists and writers all over the world to get access to invaluable insights that help boost their musical careers.
SCALING UP
Having undergone difficult times in the late 90s due to piracy, the music industry resurged due to streaming and curated online services and is now on a path of explosive growth as music becomes more ubiquitous than ever and distributed all over the world. Furthermore, data is today generated and collected at an unprecedented rate, through social media, marketing and other digital platforms.
As leaders in music technology, we are riding a rapid growth wave and scaling our systems and products to cope with current and future demand, while also building new innovative products that not only enable better decision making, increased efficiency but also help maximise revenue for creators.
WHAT IS IT LIKE TO BE AN ENGINEER AT KOBALT
We are passionate about our teams and hiring great talent. We are looking for engaged and sharp Engineers at all levels to support us with our growth ambitious.
As an engineer at Kobalt you’ll be involved in the whole development life cycle starting with planning and road mapping sessions with the product team, writing clean, scalable and fully tested code.
Our new developers are always mentored by an existing and more experienced member of the team and have access to an extensive range of learning materials ranging from a free Udemy account to access to a library of online e-books and audiobooks.
As a technology company we are also committed to sharing our knowledge and experiences with the wider technology community through monthly technology and diversity focussed events.
HOW DOES THIS ROLE CONTRIBUTE TO KOBALT?
Our 100 strong engineering team is split into 4 main areas aligning to our core business units - publishing , recordings , digital collections and synch . Each of these areas is split further into smaller product or feature lead teams.
Our engineering teams find creative solutions to solve complex problems that help us provide most innovative ways for creators to distribute their work, collect their royalties, keep track of their streaming data and sync their music to TV, film and advertising opportunities that exists in the music world today.
As a Senior Engineer at Kobalt you will be responsible for working on technology problems ranging from the large scale transformation of a monolith application that processes billions of royalty payments monthly, into scalable, language agnostic services, to using predictive analysis to build recommendation engines that help our Synch team find music to fit briefs from advertising agencies from a catalogue of millions of songs.
Language is not the most important thing to us when we look for Engineers. What is important is that our engineers are curious, adaptable, dependable, always want to learn more, and are able to write clean, tested and reliable code. To begin with, you will likely be coding in Java so some experience of Java or a similar object oriented language will be advantageous.
We follow best practices, test our own code and deploy our own work with the help of our operations team.
Tech we use at Kobalt includes Java, Spark, Python, Scala, Javascript, Node, Go, React, Redux, AWS, Docker, Oracle, SQL (plus loads more)
This is a unique opportunity to be hands on with both the product and the technology whilst helping to shape the future of music for creators .
IDEALLY YOU WILL...
Have a Bachelors or Masters Degree in Computer Science or a related field or equivalent working experience
Be comfortable in multiple development languages (static and dynamic) including Java, and interested in learning more
Have a good understanding of systems design, algorithms, and data structures
Experience with AWS, Google Cloud, or any proprietary clouds
Experience with big data technologies (e.g. Hadoop) and with microservices architecture
Demonstrate a devops-centric approach for delivering high quality and reliable service development, with a test driven approach for delivering clean, tested and reliable code
Have experience of transferring knowledge and mentoring graduates and more junior team members
WHAT YOU WILL GET IN RETURN
A great salary in addition to a generous pension scheme (up to 5% matched)
Peace of mind - we offer comprehensive health cover
A dedicated learning and development team for Tech, Udemy, BookBoon and more
Regular Tech Meetups hosted in the office on a range of topics from Scala to Agile Leadership
Wellbeing - we care about your physical and mental health and offer you subsidised gym memberships, a cycle to work scheme, sports clubs, office yoga, and (almost) daily meditation classes
A great office with everything you need to do your job and enjoy your place of work including fresh fruit and cereal, fantastic open space on our roof and shower facilities
Our infamous Kobalt Socials including quarterly-company wide rooftop parties and regular team socials, beers/wine/soft drinks on a Friday and the odd famous person doing a gig in our kitchen
IMPORTANT NOTICE
Applicants must be eligible to work in the United Kingdom. Verification checks will be conducted during the interview process and a full DBS check on acceptance of offer. Kobalt is an equal opportunity employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, gender, age, religion, disability, sexual orientation, or any other status or characteristic protected by law.
Thank you for choosing to apply for a role at Kobalt! By applying for a role on our website you are allowing Kobalt to collect your personal data and contact you regarding this opportunity. We care about transparency and believe that skill sets can be applied to multiple roles, so we would love to able to get in touch with your regarding other opportunities that may be suitable for you. We will therefore keep the information you supplied to us for one year. We collect your personal data for the purposes of managing Kobalt recruitment related activities and in relation to the evaluation and selection of applicants and as is otherwise needed in the recruitment processes. You can read our Privacy Policy HERE where we outline full details in line with GDPR requirements.
We are seeking a Junior Client Analyst in New York to join our market-leading administrative team. You will join Kobalt’s Client Analysis team - a target-driven, data group that provides Kobalt’s clients with the most transparent and accurate reporting in the music industry. The ideal candidate is highly analytical, detail-oriented and comfortable working with big data and analyzing key trends. This position will work on a variety of projects to produce clear and concise reporting for internal and external contacts. This is a great opportunity for someone who enjoys working with data and problem solving.
BACKGROUND
Kobalt is a music and technology company built for artists, songwriters, publishers and labels as an alternative to the traditional music business model. Kobalt’s commitment to technology, transparency, and creators’ rights has driven tremendous growth year-over-year for the company and its clients. Today, Kobalt’s Music Publishing, Neighbouring Rights, and Recordings/AWAL divisions serve over 25,000 songwriters, 600 publishers, and 20,000 independent artists, including The Chainsmokers, Kelly Clarkson, Miles Davis, Dave Grohl, Lauv, Zayn Malik, Max Martin, Nick Cave & The Bad Seeds, Paul McCartney, Stevie Nicks, Pitbull, Elvis Presley, Skrillex, Sam Smith, and many more. Kobalt represents on average over 40% of the top 100 songs and albums in both the US and UK.
We’re currently over 600 people based across 13 offices and we’re expecting to grow. That’s where you come in. If you feel like the fast-paced, rewarding environment of our rapidly growing company is for you - share your story! Apply today and tell us why you believe in a better music industry and would be the next best addition to our successful team!
WHAT DOES A JUNIOR CLIENT ANALYST AT KOBALT DO?
Use SQL to query the Kobalt database and generate accurate, clean data
Use Excel to produce ad-hoc analyses for internal and external contacts
Analyze and present key trends clearly and concisely using Excel
Provide support to overall team with audits and large client requests
Assist in producing reporting for Kobalt’s clients and senior executives
Manage high priority client requests timely and efficiently
Provide ad hoc analytical support as needed
Ability to troubleshoot and provide solutions when needed
WHAT SKILLS AND EXPERIENCE ARE WE LOOKING FOR?
Bachelor’s Degree in a relevant field
1-2+ years’ experience generating and analyzing data in a creative company/industry
Knowledge of basic SQL required
Strong numerical and analytical skills
Ability to manipulate and scrutinize large sets of data and provide meaningful analysis
Strong written and verbal communication skills
Sensitivity to confidential information and material
Proficiency in Microsoft Office Suite (advanced proficiency in Excel to analyze large datasets)
Knowledge of foreign collection societies and music publishing on a global scale is ideal
Kobalt is an equal opportunity employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, gender, age, religion, disability, sexual orientation, or veteran status, or any other status or characteristic protected by law.
Jul 10, 2019
Full time
We are seeking a Junior Client Analyst in New York to join our market-leading administrative team. You will join Kobalt’s Client Analysis team - a target-driven, data group that provides Kobalt’s clients with the most transparent and accurate reporting in the music industry. The ideal candidate is highly analytical, detail-oriented and comfortable working with big data and analyzing key trends. This position will work on a variety of projects to produce clear and concise reporting for internal and external contacts. This is a great opportunity for someone who enjoys working with data and problem solving.
BACKGROUND
Kobalt is a music and technology company built for artists, songwriters, publishers and labels as an alternative to the traditional music business model. Kobalt’s commitment to technology, transparency, and creators’ rights has driven tremendous growth year-over-year for the company and its clients. Today, Kobalt’s Music Publishing, Neighbouring Rights, and Recordings/AWAL divisions serve over 25,000 songwriters, 600 publishers, and 20,000 independent artists, including The Chainsmokers, Kelly Clarkson, Miles Davis, Dave Grohl, Lauv, Zayn Malik, Max Martin, Nick Cave & The Bad Seeds, Paul McCartney, Stevie Nicks, Pitbull, Elvis Presley, Skrillex, Sam Smith, and many more. Kobalt represents on average over 40% of the top 100 songs and albums in both the US and UK.
We’re currently over 600 people based across 13 offices and we’re expecting to grow. That’s where you come in. If you feel like the fast-paced, rewarding environment of our rapidly growing company is for you - share your story! Apply today and tell us why you believe in a better music industry and would be the next best addition to our successful team!
WHAT DOES A JUNIOR CLIENT ANALYST AT KOBALT DO?
Use SQL to query the Kobalt database and generate accurate, clean data
Use Excel to produce ad-hoc analyses for internal and external contacts
Analyze and present key trends clearly and concisely using Excel
Provide support to overall team with audits and large client requests
Assist in producing reporting for Kobalt’s clients and senior executives
Manage high priority client requests timely and efficiently
Provide ad hoc analytical support as needed
Ability to troubleshoot and provide solutions when needed
WHAT SKILLS AND EXPERIENCE ARE WE LOOKING FOR?
Bachelor’s Degree in a relevant field
1-2+ years’ experience generating and analyzing data in a creative company/industry
Knowledge of basic SQL required
Strong numerical and analytical skills
Ability to manipulate and scrutinize large sets of data and provide meaningful analysis
Strong written and verbal communication skills
Sensitivity to confidential information and material
Proficiency in Microsoft Office Suite (advanced proficiency in Excel to analyze large datasets)
Knowledge of foreign collection societies and music publishing on a global scale is ideal
Kobalt is an equal opportunity employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, gender, age, religion, disability, sexual orientation, or veteran status, or any other status or characteristic protected by law.
