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Entry Level Spotify Data Science Jobs in Boston, MA

Spotify's Personalization organization builds the technology that helps millions of listeners ... If you would like more information about how your data is processed, please contact us. Find our AI ...

Spotify's Personalization organization builds the technology that helps millions of listeners ... If you would like more information about how your data is processed, please contact us. Find our AI ...

Spotify's Personalization organization builds the technology that helps millions of listeners ... If you would like more information about how your data is processed, please contact us. Find our AI ...

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

These domains include software engineering, data science, machine learning/AI, human factors, and ... Demonstrated capability to source top technical talent spanning the range from entry-level to ...

Clinical Data Associate

Boston, MA · On-site

$50K - $62K/yr

FANTASTIC IMMEDIATE OPPORTUNITY for ENTRY LEVEL & EXPERIENCED candidates Preference given to ... Medical or biological sciences background is helpful but not required. * 1+ yr of experience;

Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Technical Recruiter

Cambridge, MA · On-site

$70K - $120K/yr

These domains include software engineering, data science, machine learning/AI, human factors, and ... Demonstrated capability to source top technical talent spanning the range from entry-level to ...

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Entry Level Spotify Data Science information

See Boston, MA salary details

$14

$35

$67

How much do entry level spotify data science jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for entry level spotify data science in Boston, MA is $35.77, according to ZipRecruiter salary data. Most workers in this role earn between $22.98 and $39.95 per hour, depending on experience, location, and employer.

How much do entry level Spotify data science professionals make?

Entry-level data science professionals at Spotify typically earn between $70,000 and $90,000 annually, depending on location and experience. These roles often require proficiency in programming languages like Python or R and familiarity with machine learning tools and data analysis techniques.

How to become an entry level Spotify data science?

To become an entry-level Spotify data scientist, candidates typically need a bachelor's degree in a quantitative field such as computer science, statistics, or mathematics. Gaining experience with programming languages like Python or R, understanding machine learning concepts, and working with large datasets are essential. Familiarity with data analysis tools, SQL, and a strong foundation in statistics can improve job prospects.

What are the most commonly searched types of Spotify Data Science jobs in Boston, MA?

The most popular types of Spotify Data Science jobs in Boston, MA are:

What are popular job titles related to Entry Level Spotify Data Science jobs in Boston, MA?

For Entry Level Spotify Data Science jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Entry Level Spotify Data Science jobs in Boston, MA look for?

The top searched job categories for Entry Level Spotify Data Science jobs in Boston, MA are:

Research Scientist - Personalization

Boston, MA • On-site

$133K - $190K/yr

Full-time

Medical, Retirement, PTO

Re-posted 16 days ago


Job description

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.

Spotify's Personalization organization builds the technology that helps millions of listeners discover what they love. Within this space, our research team focuses on advancing the state of the art in machine learning and AI to shape the future of personalization. We explore new approaches, challenge existing assumptions, and contribute to the broader research community while influencing long-term product direction.

What You'll Do
  • Conduct original research in machine learning and artificial intelligence, with a focus on large-scale foundation models and generative AI
  • Develop novel methodologies, models, and evaluation frameworks to advance personalization systems
  • Design and execute rigorous experiments to explore new ideas and validate research hypotheses
  • Contribute to the scientific community through publications, talks, and conference participation
  • Collaborate with cross-functional partners to translate research insights into long-term product opportunities
  • Help define and evolve a forward-looking research agenda aligned with Spotify's personalization strategy
  • Mentor others and contribute to a strong, curious, and collaborative research culture
Who You Are
  • You have a Master's or PhD in machine learning, artificial intelligence, or a related field, or equivalent research experience
  • You have 2+ years of experience conducting research in machine learning or AI, ideally in an industry or academic setting
  • You have a track record of publications or contributions to top-tier conferences such as NeurIPS, ICML, ICLR, or similar
  • You have deep knowledge of machine learning, with experience in areas such as recommender systems, generative models, or representation learning
  • You are experienced in designing experiments and working with real-world datasets to validate research ideas
  • You care about advancing understanding of user behavior and improving experiences across music and talk content
  • You bring curiosity, creativity, and a thoughtful approach to solving complex, open-ended problems
  • You value collaboration and actively seek diverse perspectives in your work
Where You'll Be
  • This role is based in New York City or Boston
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
The United States base range for this position is $133,194 - $190,278 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. 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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