Data Scientist

Data Science- Spotify India is looking for a Data Scientist as part of our Insights team, to help us out with the growing complexity of internal data analytics projects

Location
- MumbaiJob type
- Permanent
- As part of the data science function, you will focus on driving improvements in user acquisition, engagement and long-term growth by measuring user behavior and supporting in optimizing new channels, platforms and strategic marketing initiatives.
- Above all, your work will impact how we believe about user growth and how we can make Spotify available and accessible for more people around the diverse Indian landscape

What You'll Do
- Support the cross-functional team of strategy, marketing, BD, music and podcasts with their data analytics needs
- Build internal dashboards / datasets on content consumption and audiences, critical to Spotify’s growth in India
- Execute established experimentation techniques in close coordination with stakeholders
- Automate measurement and analyses at market level to increase efficiency of insights utilization across the business
- Analyze user behavior on Spotify India to identify new growth areas by evaluating and forecasting their potential for growth impact
- Transform raw data into scalable, performant data models that would be consumed by data analysts and data scientists.
- Maintain a culture of rigor and data curiosity across the team by striving to make the cross-functional team as data-driven as possible

Who You Are
- You have at least a Bachelor's degree in Engineering, Statistics or a similar field
- You have minimum of 3 years experience with mixed data skill sets and approaches (analytics tools and data science); experience with product focused data science for a consumer facing tech company preferred
- You have strong SQL/Bigquery skills and intermediate programmatic expertise, in either of Python or R
- You have strong analytical skills, including analysis /modeling, statistics, A/B testing, experimental design and automation
- You have a basic understanding of modeling techniques (e.g. regression models, clustering, classification, causal inference, etc)
- Proficiency in data principles, system and data architecture, and dimensional data modeling
- You have experience with BI tools like Tableau/Looker
- You have the capacity and passion to translate business objectives into actionable analyses and results into business recommendations
- You’re an effective communicator
- You are a highly motivated and flexible individual with the ability to thrive in a dynamic environment and deliver quality outputs
- Experience in a product / B2C company is a plus

Where You Are
- This role is based in our Mumbai office.

Our global benefits
- Extensive learning opportunities, through our dedicated team, GreenHouse.
- Flexible share incentives letting you choose how you share in our success.
- Global parental leave, six months off - fully paid - for all new parents.
- All The Feels, our employee assistance program and self-care hub.
- Flexible public holidays, swap days off according to your values and beliefs.

Learn about life at Spotify
- Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
- Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.