Senior Data Scientist - Premium (Bayside)
Compensation: $86,350.00 - $148,460.00 /year *
Employment Type: Full-Time
Industry: Information Technology
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We are looking for an experienced Data Scientist to join our Conversion Product Insights team within Spotifys Premium mission. This team consists of 20+ highly motivated and friendly individuals across New York, London & Stockholm, specialising in both Data Science and User Research, using their skills to build a holistic understanding of our Premium users. As part of our team you will study user behaviour, strategic initiatives, markets, content, new features, and bring data and insights into every decision we make. Above all, your work will impact how we think about our users, and our ability to identify and satisfy our users needs, in compelling product and service offerings. This is a highly impactful role where you and the rest of the team will be able to directly impact how our Premium products are experienced, packaged, and sold around the world. What youll do Perform analyses on data sets to extract actionable insights that will help drive decisions across the user funnel such as acquisition, activation, and retention Work on larger user understanding projects to understand and recommend our next direction to determine excellent user experience Work on end-to-end projects to ensure your findings are executed and tested in the desired way Work closely with cross-functional teams of analysts, product owners, engineers, marketers, designers, user researchers, and others across the company who are passionate about Spotifys success This role is based in our New York office, but may require travelling to our London and Stockholm offices. Who you are You have relevant experience within a similar fast-paced environment, ideally with a degree in statistics, mathematics, computer science, engineering, economics or another quantitative discipline. You have the technical competence to perform more advanced analytics including: Coding skills (such as Python, R or similar) Analytics tools experience (such as SQL, Pandas, R, Spark or similar) Data visualisation tools (such as Tableau, Qlik Sense, matplotlib, ggplot2 or similar) Experience performing analysis with large datasets You have experience designing, monitoring and analyzing A/B tests or other methods of causal inference You value close collaboration with user research to develop deep insights on user behavior, through the combining of qualitative and quantitative analysis You are an ambitious person whos capable of tackling loosely defined problems You have great communication skills and really value building strong relationships with colleagues and stakeholders, and have the ability to explain complex topics in simple terms to a variety of audiences Youre capable of mentoring more junior data scientists to set them up for success You thrive in a fast-paced, dynamic and high energy environment and are comfortable with ambiguity We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.
Associated topics: data administrator, data engineer, data quality, data warehouse, data warehousing, database administrator, etl, mongo database, mongo database administrator, sybase
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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