5 Data Science jobs

We are hiring an Associate of Strategy & Business Analytics to join AWAL’s Strategy & Business Development team in LA. This is an exciting opportunity for an individual to drive strategic analysis and provide insight for key business decisions by AWAL’s senior management team and other stakeholders. The Associate will focus on research and analysis for a variety of exciting business initiatives, value a combination of artist, label and strategic partnership deals, and provide general support for strategy and operational projects across AWAL. Our ideal candidate will need to be comfortable with ambiguity and handling complexity in a fast-paced environment. He/she should be highly proficient with data analytics and possess the ability to analyze large, complex datasets with excellent modelling skills. He/she should also be strong at project management and proactively driving one’s own projects. BACKGROUND Kobalt has revolutionized the music publishing business by putting the creator at the center of everything we do. We are now taking the same approach and transforming the way recording artists release music through AWAL. Whether an artist is looking for the best digital distribution or a truly global campaign, AWAL has become the partner of choice for innovative artists at all stages of their careers. This has created a high-quality path for artists to remain outside of the traditional label system while maintaining ownership of their masters. Our roster of clients includes artists such as Lauv, Rex Orange County, Tom Misch, Steve Lacy, The Wombats, Gus Dapperton, Little Simz and more. We’re currently over 500 people based across 10 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 are the next best addition to our successful team!   WHAT DOES AN ASSOCIATE OF STRATEGY & BUSINESS ANALYTICS DO AT KOBALT? Deep quantitative and qualitative analysis to deliver insights Internal analyses to deliver insights on our businesses and support growth & improvement initiatives Ownership over core end-to-end data analysis (understand data, query, clean, structure, analyze, model, present) Run financial analysis of artists and label deals Assist with financial due diligence of partnership and M&A opportunities Support various BU strategy & operational projects Develop & deliver high-quality presentations for senior stakeholders on key opportunities, challenges, etc. WHAT SKILLS AND EXPERIENCE ARE WE LOOKING FOR?  Bachelor’s degree from a top-tier university, preferably with a quantitative background 2+ years of research and analysis experience, with affinity for problem-solving Strong ability to structure and conduct quantitative & qualitative analyses Strong business sense and ability to identify implications Strong organizational skills Strong communication skills – written & verbal Excellent skills in MS Excel and PowerPoint; experience with SQL preferred Ability to efficiently manage multiple projects, data inputs and stakeholders within tight deadlines 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.

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're looking for someone to join our Anti-Abuse team as an embedded Data Scientist. You will be a member of a diverse and skilled group of Data Scientists that operate across the organisation in product teams, business intelligence and analytics. 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 As a Senior Data Scientist on Anti-Abuse, you will take the lead on identifying the sources of fraud, spam and abuse and working on solving these problems in a pragmatic way using your expertise in statistics and machine learning. You will see projects through from start to finish performing research, prototyping solutions, and production deployment at scale using engineering best practices. 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. Problems in this space are often ill-defined and open so strong problem solving skills and an ability to look beyond the immediate scope of a problem are important. You will know when and how to be pragmatic and, for example, use human-readable heuristics or take the leap to learn a model to predict the expected behaviour of a user. Some projects you might work on include: Bot detection Time series anomaly detection Fraud analysis and prevention About You You are a Senior 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 relevant field such as computer science or machine learning (preferred but not required) A minimum of 3 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. Experience with Scala, Python or similar languages that are used to ship production models and systems Experience wrangling very large datasets by writing and maintaining data processing pipelines with Hadoop, Spark, BigQuery, Redshift, or similar 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 Diversity at SoundCloud SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us build a social platform and global community where anyone can create, discover, and share sounds. We acknowledge the challenges in our industry, and strive to develop an inclusive culture where everyone can contribute.

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're looking for someone to join our search team as an embedded Data Scientist. You will be a member of a diverse and skilled group of Data Scientists that operate across the organisation in product teams, business intelligence and analytics. As a Senior Data Scientist on search, you will take the lead on refining the search experience using your expertise in information retrieval and machine learning. 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 in search. 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: A Ph.D. or M.Sc. in a relevant field such as computer science or machine learning (preferred but not required) 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. Experience with Scala, Python or similar languages that are used to ship production models and systems Experience wrangling very large datasets by writing and maintaining data processing pipelines with Hadoop, Spark, BigQuery, Redshift, or similar 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 Diversity at SoundCloud SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us build a social platform and global community where anyone can create, discover, and share sounds. We acknowledge the challenges in our industry, and strive to develop an inclusive culture where everyone can contribute.

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 either Berlin or 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. Diversity at SoundCloud: SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us build a social platform and global community where anyone can create, discover, and share sounds. We acknowledge the challenges in our industry, and strive to develop an inclusive culture where everyone can contribute. Read more about engineering at SoundCloud  here .

Since launching in 2013, Reverb has grown into the world’s most popular music gear site, connecting millions of people around the world to the gear and the inspiration they need to make music. Our growing team comes to work each day to make Reverb the best place for musicians and music lovers to buy, sell, and learn about music gear.   As part of the Reverb Data Engineering team, you’ll help build the platform to enable data-driven decisions and products that scale along with our business. We’re using Python and Scala to build a streaming architecture to support production machine learning. We’re a small, eager team so we’re looking for engineers who can take a high degree of initiative and enjoy working across team boundaries.   Everyone at Reverb takes creative initiative, helps set their own priorities, and comes up with new ways to grow the business. Our engineers take pride in building great software but take even more pride in shipping great features for our customers. If want to learn more, check out  this video on working at Reverb .   Responsibilities : Design, build and maintain our data pipeline and machine learning services.  Develop ETL ecosystem tools (currently using Elasticsearch, Spark, Python, Redis, PostgreSQL, and more) Collaborate with data science and stakeholders across the organization to raise the bar for data best practices and management Demonstrate and communicate a deep understanding of your chosen languages and frameworks to be able to make tradeoffs. Able to do more with less complexity. Advocate for internal and external customers to break down problems, set priorities and follow up on performance and functionality Build and maintain internal data processing and visualization tools to ensure that stakeholders have timely access to data. Lead in pairing sessions, code reviews and take initiative on research projects/ requirements   Requirements : Professional experience in high-volume ETL systems. Python experience a must, Scala and AWS experience are pluses as they're part of our ecosystem.   Understands different types of data storage and their trade-offs with regards to availability, consistency, read/write throughput and maintenance cost. High-level understanding of machine learning techniques such as regression, data cleaning and/or clustering algorithms. Able to communicate effectively with engineering peers, data analytics, and business stakeholders. What you'll get: Competitive salary and stock options in a high growth company. No-bureaucracy environment where ownership and initiative is valued. Health insurance and a healthy work environment-- no 80 hour weeks. 401k with 4% match. Flexible vacation and sick days. A MacBook Air, monitor, keyboard, mouse of your choice and standing desk. Discounts on music gear.   This is a local position in Chicago, please no remote workers or recruiters.  Please send us a link to your Github!