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Assistant Spotify Data Science Jobs (NOW HIRING)

Athenago

Data Science Intern

Wilmington, DE

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Role Overview The Data Science Intern will help us to understand the performance of Executive ...

Spotify

Senior Backend Engineer - Advertising

... data scientists to identify and solve challenging problems. Qualifications : Required : • 4+ ... Spotify is a commercial music streaming service that provides restricted digital content from a ...

Spotify

Senior Backend Engineer - Advertising

New York, NY · On-site +1

$164K - $234K/yr

Collaborate with other engineers, product owners, and data scientists to identify and solve ... Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter ...

Further

Data Science Analyst

Atlanta, GA · On-site

They are seeking a Data Science Analyst who can interpret data to drive decision-making and ensure ... Assist in designing and executing reporting, analytics, and optimization briefs. • Partner ...

College Board

Data Scientist, Data Science Team

This is a full-time position About the Team The Data Science team provides critical insights and ... Advise other teams on Machine Learning projects and assist with establishing Machine Learning ...

Superhuman

Director, Data Science

San Francisco, CA · On-site

$302K - $415K/yr

... AI assistant that understands context and delivers help automatically. Refounded in 2025 ... The Opportunity As Director, Data Science , you will lead the data science strategy and team for a ...

Caterpillar

Data Science/Analyst

Chicago, IL · On-site

Launch your data science or technical analyst career by building AI and analytics solutions that ... creating agents, assistants, and chatbots * Ensure long-term connectivity through strategic ...

Further

Data Science Analyst

Cleveland, OH · On-site

We are looking for a Data Science Analyst who can not just report on performance, but also ... * Assist in designing and executing reporting, analytics, and optimization briefs. * Partner ...

Further

Data Science Analyst

Atlanta, GA · On-site

We are looking for a Data Science Analyst who can not just report on performance, but also ... * Assist in designing and executing reporting, analytics, and optimization briefs. * Partner ...

Generac

Data Science Analyst

Waukesha, WI

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the ... The candidate will work on Enterprise data platform and other analytical projects as needed, assist ...

New

Spotify

Machine Learning Engineer

Spotify is a leading audio streaming subscription service that aims to unlock the potential of ... with research scientists, machine learning engineers, and data engineers • Experience in ...

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Assistant Spotify Data Science information

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$44.2K

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How much do assistant spotify data science jobs pay per year?

As of Jul 11, 2026, the average yearly pay for assistant spotify data science in the United States is $44,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $48,000.00 per year, depending on experience, location, and employer.
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What cities are hiring for Assistant Spotify Data Science jobs? Cities with the most Assistant Spotify Data Science job openings:
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Assistant Spotify Data Science jobs near you
Infographic showing various Assistant Spotify Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $44,245 per year, or $21.3 per hour.

Senior Machine Learning Engineer - Ads R&D

Spotify

New York, NY • On-site, Remote

$184K - $262K/yr

Other

Medical, Retirement, PTO

Re-posted 19 days ago

Job description

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.
We are seeking a Senior Machine Learning Engineer to join the Supply Personalization squad. Supply Personalization focuses on optimizing the volume, timing, and types of ad loads a user receives. By leveraging data, machine learning, causal inference, and large scale online experimentation, we aim to uncover and learn the most effective strategies for enhancing user experiences and driving business outcomes.
We are looking for someone with strong expertise in data analysis, online experimentation techniques, and large-scale ML and engineering systems; someone who is motivated by user and business problems as much as they are by technical problems, and who thrives under ambiguity, experimentation, and iteration. You will work directly on an array of product features that drive the optimal user experience for our ads. You will collaborate with our cross-functional teams to ideate, develop, and own complex technical solutions on our ad services technology platforms. As someone who shares our passion for building innovative ad experiences, you'll have a direct impact on how the world uses Spotify.
What You'll Do
  • Design and implement machine learning systems for ad performance optimization.
  • Research and apply ML optimization strategies to balance multiple objectives effectively.
  • Analyze data and use machine learning techniques to understand user behavior and improve ad experiences.
  • Collaborate with backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies.

Who You Are
  • You have professional experience in applied machine learning.
  • You have strong technical expertise in software engineering, data analysis, and machine learning.
  • You are proficient in programming languages such as Python, Java, or Scala.
  • Experienced in Tensorflow or PyTorch and working with various aspects of the ML lifecycle
  • You have expertise in developing data pipelines using tools like Apache Beam or Spark.
  • As a plus, you may have experience with any of the following - LLMs, Ray, Adtech, or Recommender Systems.

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 $184,050.00 - $262,928.00, 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, paid sick leave. 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.
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. Find our AI notice here: https://lifeatspotify.com/ai-notice

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