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Selected role

Senior Data Scientist - Ads Data Platform

Spotify New York, NY

$143k - $204k Senior Full-time

Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.

The Ads Data Platform team is seeking a senior-level data scientist to help build our ad measurement products. You will support the building of our experimentation platform and related measurement solutions for advertisers, allowing them to optimize their campaigns on Spotify. You will work alongside product managers, engineers, and product marketers, leading the development of our measurement offerings from a data science perspective.

As part of the Advertising team, you’ll work on the latest advertising technologies to connect millions of brands to billions of fans. We’re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Join us and help build the product solutions that empower this!

What You'll Do

Partner with product and engineering to understand audience product problems and propose data-driven solutions.
Deliver solutions to challenging, large-scale problems with complexity and ambiguity independently
Write code (Python, R, SQL, etc.) to obtain, manipulate, and analyze large datasets
Communicate data-driven insights and recommendations to key partners
Work closely with a cross-functional team of product owners, product marketers, and engineers
Prioritize business solutions, regardless of product area

Who You Are

You have 5+ years of experience in a similar data science role and a degree in a quantitative subject area
You are comfortable building and maintaining large, complex datasets
You have the technical competence to perform advanced analytics and data extraction (using SQL, and Python or R)
You can explain complex concepts to non-technical stakeholders and conduct nuanced discussions with engineers
Deep knowledge of statistical inference, preferably including experience with Bayesian methods
You have experience in experimental design / causal inference
You have experience taking a project idea and bringing it to life through self-driven scoping, planning, and stakeholder communication
Ad tech experience is a plus

Where You'll Be

We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location.
This team operates within the U.S. Eastern time zone for collaboration.

The United States base range for this position is $143,023.00- 204,319.00, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.

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.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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