Senior Data Scientist Advertising at Spotify

We work at the intersection of advertising and messaging technologies to connect millions of brands to billions of fans. As part of the Advertising team, we’re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Come join us and help build the platform that powers promotion at Spotify.

We are looking for a Data Scientist to join Spotify’s Advertising Business Unit. The Advertising Business Unit is responsible for the success of Spotify’s freemium business model that allows us to deliver an amazing free experience to more than 200 million users worldwide. 

Our team uses machine learning to drive both advertiser outcomes and listener satisfaction in Spotify Free, helping democratize music access globally while positively impacting Spotify’s bottom line. We develop innovative solutions around the core problem of getting the right ad or message to the right user at the right time, while embodying Spotify’s values and keeping our users’ best interests at heart.


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.