What You'll Do

• Work closely with cross-functional teams of ML engineers, user researchers, product owners and designers who are passionate about Spotify’s success
• Perform analyses on large sets of data to extract meaningful insights that will help drive ML driven product decisions
• Design and conduct A/B tests to drive iterative improvement to both user and advertiser metrics through efficient experimentation
• Communicate data-driven insights and recommendations to key team members
• Build lasting solutions to surface critical data and performance metrics
• Help us develop our knowledge and practice around the development and evaluation ML driven products
• Develop individually to continue to grow your impact, and help mentor peers

Who You Are

• You have Ph.D.-level expertise in a related computational field, in particular addressing probability and uncertainty as they relate to data.
• You have familiarity with applying machine learning to solve product needs, and can reason about choice of algorithms, minimal viable products and iteration.
• You are capable of tackling very loosely defined problems.
• You have the technical competence to perform more sophisticated analysis:
• Coding skills for analytics and data extraction (SQL, R, Python, Pandas)
• Data visualization (such as Tableau, D3, ggplot, Looker)
• Experience performing analysis with large datasets
• Solid understanding of statistics and machine learning
• You are a communicative person that values building positive relationships with co-workers and stakeholders and have the ability to explain complex topics in simple terms.

Where You'll Be

• We are a distributed workforce enabling our band members to find a work mode that is best for them!
• Where in the world? For this role, it can be within the Americas region in which we have a work location
• Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere  options here.
• Working hours? We operate within the Eastern Standard time zone for collaboration

#remote

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 with a community of more than 345 million users.