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Spotify Data Science Jobs in New York (NOW HIRING)

Spotify

Data Scientist

New York, NY · On-site

$108K - $135K/yr

... Spotify better understand audience behaviour, content performance, and emerging consumption trends across podcast and video formats. Operating at the intersection of data science, content strategy ...

Spotify

Data Scientist

New York, NY · On-site

$108K - $135K/yr

... Spotify better understand audience behaviour, content performance, and emerging consumption trends across podcast and video formats. Operating at the intersection of data science, content strategy ...

Melotech

Data Science, Music & Audio

New York, NY · On-site

... Spotify, Blackstone and KKR. What you will do Join us as our first dedicated Data Scientist to ... bring order to the chaos of culture. You'll extract insights from hard-to-reach data sources to ...

3M HEALTHCARE

Data Scientist - Advertising

Manhattan, NY · On-site

$120 - $180/hr

Prep with InterviewLoop Spotify is hiring a Data Scientist - Advertising in New York, NY on the Advertising R&D team. Preparing for your Spotify interview? InterviewLoop has the most common system ...

Spotify

Marketing Technology Manager

New York, NY · On-site

$79K - $112K/yr

Partner closely with Growth Marketing, Product, Engineering, Data Science, and Analytics teams to ... Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter ...

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Spotify Data Science information

See New York salary details

$25.7K

$127.8K

$230.1K

How much do spotify data science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for spotify data science in New York is $127,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,969.00 and $176,016.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Spotify data science position?

To thrive as a Spotify Data Science professional, you need a solid grounding in statistics, machine learning, data analysis, and experience with programming languages such as Python or Scala, generally supported by a degree in computer science, math, or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud computing, SQL, and data visualization tools is highly valued, as are certifications in data science or analytics. Strong communication skills, creativity, and cross-functional collaboration are vital soft skills for translating data insights into actionable business solutions. These skills enable you to effectively analyze user behavior, improve product recommendations, and drive data-informed decisions in Spotify’s fast-paced, innovative environment.

What is the typical work environment and team structure for a data science role at Spotify?

Spotify Data Scientists commonly work in cross-functional teams alongside engineers, product managers, and designers, focusing on projects such as enhancing recommendation algorithms or analyzing user engagement. The environment is collaborative and fast-paced, often involving agile methodologies and regular knowledge sharing through team standups, code reviews, and data deep dives. Data Scientists are encouraged to experiment, drive innovation, and contribute ideas across the product lifecycle, making it an engaging setting for continuous learning. Team members may work remotely or from Spotify offices, with a strong emphasis on open communication and diversity of thought.

What is a Spotify data science job?

A Spotify Data Science job involves analyzing user behavior, music trends, and product performance to drive data-informed decisions. Data scientists at Spotify work with large-scale datasets, use machine learning and statistical models, and collaborate with product, engineering, and business teams. They help improve recommendations, personalize user experiences, and optimize content discovery. The role typically requires strong programming skills (Python, SQL), experience with data visualization, and expertise in A/B testing and experimentation.

What are the most commonly searched types of Spotify Data Science jobs in New York? The most popular types of Spotify Data Science jobs in New York are:
What are popular job titles related to Spotify Data Science jobs in New York? For Spotify Data Science jobs in New York, the most frequently searched job titles are:
What job categories do people searching Spotify Data Science jobs in New York look for? The top searched job categories for Spotify Data Science jobs in New York are:
Spotify Data Science jobs near you
Infographic showing various Spotify Data Science job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $127,764 per year, or $61.4 per hour.

Data Scientist

Spotify

New York, NY • On-site

$108K - $135K/yr

Full-time

Re-posted 3 days ago

Job description

The Podcast & Video Analytics team sits within Spotify's Content Analytics organisation and partners closely with Podcast, Video, Product, Engineering, and Content teams to shape the future of creator-driven experiences on Spotify. The team's mission is to empower strategic decision-making through world-class analytics, helping Spotify better understand audience behaviour, content performance, and emerging consumption trends across podcast and video formats.

Operating at the intersection of data science, content strategy, and technology, the team develops scalable measurement frameworks, uncovers actionable insights, and pioneers new analytical approaches using AI and advanced modelling techniques. By translating complex data into compelling narratives and practical recommendations, the team helps ensure Spotify continues to innovate and lead in the rapidly evolving Podcast & Video landscape.

What You'll do
  • Act as a core analytics partner to Podcast & Video content teams, providing deep-dive research and insights that shape long-term, data-driven programming and product roadmaps.
  • Identify emerging trends in podcast listening and video consumption, pinpointing opportunities in priority markets to keep Spotify's Podcast & Video strategy ahead of the curve.
  • Transform complex data into scalable, actionable playbooks that empower global content and product teams to execute high-impact strategies.
  • Design measurement frameworks using causal inference, experimentation, and modelling to quantify the incremental impact of Podcast & Video content and product decisions.
  • Build and iterate on AI-powered dashboards and data visualisations that make Podcast & Video data more accessible and intuitive for stakeholders across the business.
  • Leverage AI tooling, including LLMs and agentic coding assistants, to automate analytical workflows, accelerate insight generation, and explore new frontiers in data storytelling.
  • Synthesise data findings into compelling narratives that drive alignment across Product, Engineering, and Content stakeholders.
  • Gather stakeholder input to understand and translate their needs into clear data requirements and deliverables, supporting documentation, and knowledge sharing across the team.
Who You Are
  • You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, or Economics.
  • You have 1+ years of relevant experience performing data analysis or data science. In particular:
    • You are proficient in Python and SQL and an early adopter of AI coding tools such as Cursor, Claude, Codex, or GitHub Copilot.
    • Experience building data visualisations and dashboards; familiarity with AI-assisted or code-driven charting approaches (e.g. D3.js) is a plus.
    • Experience with A/B testing and statistical modelling.
    • A demonstrated track record of integrating AI and LLM tools into your data science workflow, whether for analysis, automating repeatable tasks, or building intelligent data products.
  • You are a confident communicator who can ground subjective, creative discussions in objective data.
  • A storyteller who creates value for the business by translating data into actionable strategy.
  • You are passionate about podcasts, video, and creator-driven content. Previous experience in audio, video, or broader creative industries is an advantage.
  • You are based in New York and comfortable working with crossover into other US and European timezones regularly.
Where You'll Be

  • This role is based in New York.

  • 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.

$108,097 - $135,121 a year
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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