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Intern Data Science Music Jobs in Rye, NY (NOW HIRING)

Spotify

Data Scientist - Discovery Mode

New York, NY

$116K - $167K/yr

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify ... You have 4+ years of experience in a data science role and a degree in data science, statistics ...

Spotify

Data Scientist - Discovery Mode

New York, NY · On-site +1

$116K - $167K/yr

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify ... You have 4+ years of experience in a data science role and a degree in data science, statistics ...

Suno

Senior Data Scientist, Content + Social

New York, NY · On-site

$200K - $250K/yr

Collaborate closely with product, business, and music functions * Contribute to building strong data foundations as part of our awesome data science team What You'll Need * 5+ years experience in ...

Graphite

Data Scientist

New York, NY · On-site

$160/hr

Our culture centers on putting people first, applying science and craft, practicing disciplined ... Outside of work you'll find us brewing espresso drinks, producing music, or practicing yoga. We can ...

Point72

Quantitative Research Intern (NLP)

New York, NY · On-site

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the ... The ideal candidate will have strong machine learning, data science and software engineering skills ...

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All JobsIntern Data Science Music JobsIntern Data Science Music Jobs in Rye, NY

Intern Data Science Music information

See Rye, NY salary details

$12

$23

$44

How much do intern data science music jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for intern data science music in Rye, NY is $23.85, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $25.96 per hour, depending on experience, location, and employer.

What types of projects can an Intern Data Science Music expect to work on, and how do these contribute to the team’s goals?

As an Intern Data Science Music, you can expect to work on projects such as analyzing streaming data to uncover listening trends, building recommendation algorithms, or assisting with the evaluation of audio feature extraction methods. These projects are typically collaborative, allowing you to work closely with data scientists, engineers, and sometimes product managers to deliver actionable insights or prototypes that directly impact how music is discovered and experienced on digital platforms. The work environment is often fast-paced and encourages creative problem-solving, which helps interns gain exposure to real-world data challenges while contributing meaningfully to the team's objectives.

What is the difference between Intern Data Science Music vs Intern Data Analysis Music?

AspectIntern Data Science MusicIntern Data Analysis Music
Required CredentialsBasic programming, statistics, data science fundamentalsStatistics, Excel, basic programming
Work EnvironmentCollaborative teams, research projects, data modelingData review, reporting, visualization tasks
Industry UsageTech, entertainment, music streaming companiesMedia, marketing, music industry firms

Intern Data Science Music and Intern Data Analysis Music roles share foundational skills like statistics and basic programming. However, Data Science internships focus more on developing predictive models and machine learning, while Data Analysis roles emphasize data visualization and reporting. Both are common in the music industry, but Data Science roles often involve more complex data modeling and algorithm development.

What are the key skills and qualifications needed to thrive as an Intern in Data Science for Music, and why are they important?

To thrive as an Intern in Data Science for Music, you generally need a foundational understanding of statistics, machine learning, data analysis, and programming skills in languages like Python or R, often supported by coursework or a degree in computer science, statistics, or a related field. Experience with data visualization tools, basic knowledge of audio analysis libraries (such as librosa), and familiarity with SQL or cloud platforms are commonly required. Strong analytical thinking, creativity, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting meaningful patterns from music data, supporting innovation, and driving actionable outcomes in the music industry.

What does an Intern Data Science Music do?

An Intern Data Science Music typically assists in analyzing and interpreting music-related data to help improve products or services in the music industry. Their tasks may include collecting and cleaning data, performing statistical analysis, building predictive models, and visualizing musical trends or user behavior. These interns often work with large datasets involving music streaming, song features, or listener preferences, and may collaborate with data scientists, engineers, and product teams. The role offers practical experience in both data science and the unique challenges of the music sector.
What job categories do people searching Intern Data Science Music jobs in Rye, NY look for? The top searched job categories for Intern Data Science Music jobs in Rye, NY are:
What cities near Rye, NY are hiring for Intern Data Science Music jobs? Cities near Rye, NY with the most Intern Data Science Music job openings:
Intern Data Science Music jobs near you

Data Scientist - Discovery Mode

Spotify

New York, NY

$116K - $167K/yr

Other

Medical, Retirement, PTO

Posted 6 days ago

Job description

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips help artists and their teams grow their audiences, connect with fans, and achieve their goals on Spotify.

We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most. With Discovery Mode, artists and labels identify songs that are a priority, and our systems use that signal to inform the algorithms that power personalized recommendations. This role sits within the ML squad that builds and operates the models behind Discovery Mode's measurement system, and you'll serve as the squad's analytical lead.

In this role, you'll partner closely with product managers and ML engineers to evaluate and improve the models that power Discovery Mode. You'll tackle complex analytical problems by designing experiments, developing evaluation frameworks, and building the analytical foundations that help keep our models accurate, reliable, and impactful for artists. As part of the Product Insights team within Music Mission, you'll help shape the measurement systems behind one of Spotify's most important promotion products.

What You'll Do
  • Own the analytical function for the Discovery Mode ML squad, driving evaluation and continuous improvement of the models that power measurement and campaign optimization
  • Partner with ML engineers to develop evaluation frameworks and identify opportunities to improve model performance, reliability, and customer impact
  • Design and execute rigorous experiments to evaluate model quality, measure outcomes, and guide model development
  • Conduct deep-dive analyses to assess model performance and translate findings into clear, actionable recommendations for product and business stakeholders
  • Build, maintain, and evolve dashboards that track model health, customer metrics, and program performance
  • Collaborate with product managers, engineers, and cross-functional partners to align analytical priorities with squad goals and customer needs
  • Contribute to the broader Product Insights community by sharing best practices and helping raise the bar for analytics across Discovery Mode
Who You Are
  • You have 4+ years of experience in a data science role and a degree in data science, statistics, economics, mathematics, or a related quantitative field
  • You have experience measuring customer outcomes, defining KPIs, and connecting analytical insights to product decisions
  • You know how to design and implement A/B tests, understand when experimentation is the right tool, and interpret results with appropriate rigor
  • You have experience evaluating machine learning model performance and partnering with ML engineers to improve model and customer outcomes
  • You are comfortable working in a highly technical environment and collaborating closely with engineering partners
  • You communicate complex statistical concepts clearly to both technical and non-technical audiences
  • You have strong data science fundamentals, including Python, SQL, BigQuery, dbt, data storytelling, and experience working within cross-functional product teams
  • You have experience in areas such as advertising measurement, recommendation systems, experimentation, or causal inference at scale
Where You'll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the EST timezone region as long as we have a work location.
  • This team operates within the Eastern Standard time zone for collaboration.
The United States base range for this position is $116,994 - $167,135 USD, 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, paid flexible holidays, and paid sick leave. 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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