ZipRecruiter

Log In

1

Spotify Data Science Jobs (NOW HIRING)

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

Backend Engineer - Advertising

Manhattan, NY · On-site

$132.95 - $189.93/hr

... Spotify. What You'll Do * Design and develop scalable backend systems and APIs using Java services * Collaborate with Data Scientists and or Data Engineers to build and maintain complex data ...

Spotify

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

Spotify is seeking a Senior Machine Learning Engineer to join their Advertising Product ... data scientists, data engineers, and product managers to establish baselines, inform product ...

Spotify

Product Designer - Advertising

New York, NY · On-site

$119K - $170K/yr

Partner with PMs, engineers, data scientists, researchers, and content designers to shape product ... Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter ...

Spotify

Product Designer - Advertising

New York, NY · On-site +1

$119K - $170K/yr

Partner with PMs, engineers, data scientists, researchers, and content designers to shape product ... Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter ...

Spotify

Research Scientist - Personalization

Boston, MA · On-site +1

$133K - $190K/yr

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

Marketing Technology Manager

New York, NY · On-site

$91K - $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 ...

Spotify

Marketing Technology Manager

New York, NY · On-site

$91K - $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 ...

Spotify

Research Scientist - Personalization

New York, NY · On-site

$133K - $190K/yr

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

Research Scientist - Personalization

Boston, MA

$133K - $190K/yr

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 AB

Marketing Technology Manager

Manhattan, NY · On-site

$79.06 - $112.94/hr

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 ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData JobsData Consultant JobsSpotify Data Science Jobs

Spotify Data Science information

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 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.

How much do Spotify data scientists make?

Spotify data scientists typically earn between $100,000 and $150,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with roles often requiring proficiency in data analysis, machine learning, and programming tools like Python or SQL.

How to become a data scientist at Spotify?

To become a data scientist at Spotify, candidates typically need a strong background in statistics, programming (especially Python or R), and data analysis. Relevant experience with machine learning, data visualization, and familiarity with big data tools like Spark or Hadoop are also important, along with a bachelor's or master's degree in a related field. Building a portfolio of projects and gaining experience in the music or entertainment industry can enhance prospects.

What does a data scientist do at Spotify?

A data scientist at Spotify analyzes large datasets to uncover insights that improve user experience, personalize recommendations, and optimize content delivery. They use statistical models, machine learning techniques, and tools like Python, R, and SQL to interpret data and support product development. Strong analytical skills and knowledge of music streaming trends are essential for this role.
More about Spotify Data Science jobs

What cities are hiring for Spotify Data Science jobs?

Cities with the most Spotify Data Science job openings:

What are the most commonly searched types of Spotify Data Science jobs?

The most popular types of Spotify Data Science jobs are:

What states have the most Spotify Data Science jobs?

States with the most job openings for Spotify Data Science jobs include:

What job categories do people searching Spotify Data Science jobs look for?

The top searched job categories for Spotify Data Science jobs are:

Spotify Data Science jobs near you
Infographic showing various Spotify Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Science Intern, Music & Audio

Melotech

New York, NY • On-site

Full-time

Re-posted 3 days ago

Job description

Who we are
Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 3 billion minutes worldwide.
Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR.
What you will do
Join us as Data Scientist Intern to bring order to the chaos of culture. You'll extract insights from hard-to-reach data sources to tackle the big questions: What cultural trends are emerging that everyone else is missing? How can we predict virality? And what factors characterize an underserved category? Working fully autonomously alongside our founder and the team, your answers to these questions will directly influence our company's success. On a typical day, your tasks may include:
  • Discovering and exploiting new, untapped data sources through creative scraping techniques
  • Building data processing pipelines from scratch to handle raw, unstructured data
  • Using LLMs and agentic coding tools to accelerate data cleaning and analysis workflows
  • Spinning up EC2 instances for real-time data collection and automated scraping operations
  • Prototyping and deploying ML models on AWS for real-time predictions and content analysis
  • Creating custom dashboards and reports to communicate insights to leadership
  • Analyzing trends, audience behavior, and performance metrics to guide business decisions

Who you are
We look for upcoming Data Scientists who understand that real impact comes from turning messy, unstructured data into business-critical insights that drive company direction. You're someone who doesn't just build models, you solve complex business problems by finding creative ways to access hard-to-reach data and translate statistical findings into actionable strategies. Typically, your profile will look like this:
  • Pursuing degree in Data Science, Statistics, CS, Physics, Math, or related quantitative/technical field
  • Hands-on data science experience in fast-paced business environments across Tier 1 consultancies, Big Tech companies, high-growth start-ups and scale-ups, or media industry leaders
  • Expert-level Python proficiency with standard data science and ML frameworks
  • Experience scraping and acquiring raw data from new sources, building creative solutions to access hard-to-reach datasets beyond standard APIs
  • Extensive hands-on experience with agentic coding tools and LLMs for data workflows
  • Production model deployment experience including infrastructure and monitoring
  • Advanced data visualization skills using standard libraries or Tableau
  • Strong collaboration skills across engineering, product, and business teams
  • You thrive in a fast-paced and performance-oriented environment
  • Colleagues would describe you as hard-working, ambitious and persistent
  • You're obsessed with music, video or social media

What makes this exciting
You are one of the first employees of an ambitious team, changing the world of media and entertainment. Being early means every decision you make shapes our trajectory. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate.
We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push boundaries together.
What the process will look like
We hire on a rolling basis. The earliest starting date is always ASAP.
Once you begin our process, you can progress from start to offer within a week, depending on how quickly you can move through each stage:
  1. Online assessment: Motivational questionnaire and aptitude test - are you made for the job?
  2. Initial interview: 30-minute introductory call - getting to know you
  3. Take-home case study: Real-world project - showcase your skills and working style
  4. Case interview: 90-minute case discussion - present and debate your results with a team member
  5. Founder interview: 90-minute interview with our CEO - going deep on all topics
  6. Team interview: Individual or group interview with other team members - depending on position
  7. Offer, contract signing and onboarding

Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role.

Apply