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Director Spotify Data Science Jobs (NOW HIRING)

Numerator

Director, Data Science

Chicago, IL · On-site

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel - the quality, currency, and representativeness of the signal at the heart of our data. Your team owns ...

Figma

Director, Data Science

San Francisco, CA · On-site +1

As Director, you will lead a team of data scientists and managers, setting the vision for how data shapes strategy across Figma's AI products. You'll work closely with Product, Engineering, Design ...

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

The Director, Data Science will lead the team responsible for turning data generated by the fleet into insights that enhance the safety and efficiency of their autonomous services while collaborating ...

MCG Health

Director, Data Science

Seattle, WA · On-site

$201K - $281K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science team responsible for developing advanced AI solutions that improve clinical decision support for payers ...

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

The Director, Data Science will lead the team responsible for turning the data generated by the fleet, simulation environment, and ML systems into insights that enhance the efficiency and safety of ...

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

Gartner

Director, Data Science

Arlington, VA · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

Gartner

Director, Data Science

Stamford, CT · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Position Responsibilities As Director, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused on technical and thought leadership, people ...

May Mobility

Director, Data Science

The Director, Data Science will lead the team responsible for turning the data generated by our fleet, simulation environment, and ML systems into the insights, evaluations, and decisions that make ...

Gopuff

Director, Data Science

Charleston, WV · Remote

As Director of Data Science, you will lead a high-impact team responsible for the models and intelligence that power Gopuff's consumer experience, delivery network, and advertising platform. This is ...

Novartis

Director, Data Science

East Hanover, NJ · On-site +1

$194K - $312K/yr

... data science team. By championing the exploration of cutting-edge AI technologies, the Director ensures that our strategies are informed by the latest advancements in generative AI and large language ...

Formation Bio

Director, Data Science

Boston, NY

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead ...

Gopuff

Director, Data Science

As Director of Data Science, you will lead a high-impact team responsible for the models and intelligence that power Gopuff's consumer experience, delivery network, and advertising platform. This is ...

Omnicom

Director, Data Science

Los Angeles, CA · On-site

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Lead and train direct reports and manage their career progression Required Skills Hands-on ...

Omnicom

Director, Data Science

Los Angeles, CA · Hybrid

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Lead and train direct reports and manage their career progression Required Skills Hands-on ...

Liberty Mutual

Director, Data Science

Boston, MA · On-site +1

$156K - $281K/yr

The Director II, Data Science is a frontline manager role reporting to the Specialty Senior Director and will be responsible for the following: Frontier Program Representation Liberty Mutual is ...

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All JobsBusiness JobsMarketing JobsDirector of Marketing Analytics JobsDirector Spotify Data Science Jobs

Director Spotify Data Science information

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

As of Aug 19, 2026, the average yearly pay for director spotify data science in the United States is $154,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $189,500.00 per year, depending on experience, location, and employer.

What does a director of data science do at Spotify?

A Director of Data Science at Spotify leads teams of data scientists and analysts to drive business strategy through data-driven insights. They oversee the development of analytical models and tools that power features like music recommendations and user personalization. This role involves collaborating with product, engineering, and business leaders to inform key decisions using data. Additionally, Directors help set the vision for data science at Spotify, ensuring the team stays innovative and impactful in a fast-changing industry.

What are the key skills and qualifications needed to thrive as a director of data science at Spotify?

To thrive as a Director of Data Science at Spotify, you need deep expertise in data analytics, machine learning, and statistics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Mastery of tools such as Python, SQL, cloud platforms, and data visualization systems is essential, along with familiarity with big data ecosystems. Exceptional communication, strategic vision, and team leadership skills help drive cross-functional collaboration and innovation. These skills are crucial for developing impactful data-driven products, guiding high-performing teams, and aligning analytics initiatives with Spotify's business goals.

What are some of the primary challenges a director of data science at Spotify might face when leading cross-functional teams?

A Director of Data Science at Spotify often navigates the complexities of aligning diverse technical and business stakeholders toward shared objectives. Key challenges include translating business goals into actionable data strategies, ensuring data integrity at scale, and fostering collaboration between data scientists, engineers, and product managers. Managing and mentoring a large, multidisciplinary team requires balancing hands-on technical leadership with strategic vision. Additionally, adapting to rapidly changing music industry trends and user behaviors makes it essential to prioritize projects that deliver the most value.

What is the difference between Director Spotify Data Science vs Data Scientist Spotify?

AspectDirector Spotify Data ScienceData Scientist Spotify
Required CredentialsBachelor's/Master's/PhD in Data Science, Statistics, or related field; extensive experienceBachelor's or Master's in Data Science, Computer Science, or related field; some experience
Work EnvironmentLeadership role overseeing teams, strategic planning, cross-department collaborationHands-on data analysis, model development, reporting, and insights generation
Employer & Industry UsageCommon in tech and media companies like Spotify, focusing on data-driven decision makingEntry to mid-level role in similar environments, supporting data science initiatives

The main difference is that the Director Spotify Data Science leads teams and sets strategic goals, while the Data Scientist Spotify focuses on executing data analysis and modeling tasks. The director role requires more experience and leadership skills, whereas the data scientist role is more technical and execution-focused.

What cities are hiring for Director Spotify Data Science jobs?

Cities with the most Director 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 Director Spotify Data Science jobs?

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

Director Spotify Data Science jobs near you

Director, Data Science

Numerator

Chicago, IL • On-site

Full-time

Re-posted 11 days ago

Job description

At Numerator, understanding consumers begins with one of the industry's richest and most comprehensive views of real-world purchasing behavior. For more than a decade, Numerator has pioneered and led the science of representing consumer purchasing behavior across retailers, channels, brands, categories, demographics, and geographies.
As Director of Data Science, you will lead the team responsible for Numerator's consumer panel - the quality, currency, and representativeness of the signal at the heart of our data. Your team owns how well the panel reflects the population, how we understand where it doesn't, and the methodologies that keep it accurate, current, and trustworthy. You'll partner closely with Market Science, Engineering, Product, and GTM to turn that signal into products and estimates clients rely on.
We're looking for a leader who enjoys challenging assumptions, translating client needs into innovation, and developing exceptional data scientists. You should be equally comfortable debating statistical methodology, mentoring a team, partnering with Engineering and Product, and explaining complex concepts in language that drives better business decisions.
What You'll Do:
Team Leadership:
  • Lead, coach, and develop a team of data scientists and data science managers focused on consumer behavior, panel methodology, and measurement science
  • Grow the leaders on your team - developing managers, not only individual contributors - and raise the technical bar through mentorship, methodology reviews, and adoption of modern statistical approaches
  • Foster a culture of scientific curiosity, rigor, and peer review, where decisions are grounded in evidence and healthy debate rather than precedent or intuition
  • Build an AI-native data science team by thoughtfully integrating AI into research, experimentation, software development, and scientific workflows - helping scientists move faster while maintaining rigorous standards
  • Maintain regular engagement with clients to deepen understanding of their challenges, build confidence in Numerator's methodology, and keep client needs central to the team's priorities

Consumer Science & Methodology
  • Own the quality, currency, and representativeness of the panel signal end to end - advancing methods for attribution completeness, compliance, anomaly detection, and keeping panelist demographics current
  • Characterize how the panel represents - and mis-represents - the population, treating that as a first-class, proactive modeling discipline rather than reactive data cleanup
  • Steward the panel as a living asset, partnering across the business on recruitment, engagement, and panel health, and turning evidence of where the panel is thin into targeted, prioritized investment
  • Design methodologies that improve the stability, consistency, explainability, and scientific defensibility of Numerator's consumer data

Statistical Innovation
  • Challenge existing approaches through first-principles thinking, and research, prototype, and productionize new statistical and machine learning methods where they strengthen the platform
  • Partner with Market Science to advance the statistical foundations of Numerator's products

Cross-Functional Leadership
  • Partner closely with Market Science, Engineering, Product, and GTM - contributing the deep panel understanding that powers the broader measurement system, and translating scientific advances into scalable product capabilities
  • Communicate complex technical concepts clearly to technical and non-technical audiences
  • Balance scientific rigor with practical business impact and client value

Skills & Requirements
  • 8+ years applying advanced statistical modeling to large, complex, real-world datasets
  • Experience leading data science teams, including developing managers or leading through other leaders
  • Deep expertise in statistical modeling, machine learning, and probabilistic reasoning
  • Strong grounding in panel, survey, or sampling methodology - weighting, representativeness, and measurement science
  • Experience working with noisy observational data and developing methods to improve data quality, representativeness, or inference
  • Experience developing production methodologies rather than exploratory analyses, and designing statistical systems rather than simply applying existing techniques
  • Strong programming skills in Python, with working knowledge of SQL
  • Excellent communication skills, with the ability to explain complex statistical concepts to diverse audiences, including external/client audiences

You'll stand out if you have:
  • Experience with Bayesian statistics, hierarchical modeling, probabilistic inference, or state-space models
  • Experience with causal inference, experimental design, or behavioral modeling
  • Experience developing statistical methods for consumer, retail, marketing, or longitudinal datasets
  • A demonstrated ability to challenge existing methodologies and introduce new scientific approaches into production
  • A systems-thinking approach that considers how improvements in one area influence the broader measurement platform

There is strength in numbers - We are the Numerati
Numerator is 2,000 employees strong. We have the confidence to be real and embrace what makes each Numerati unique. Our diverse experiences, ideas and backgrounds fuel our innovation.
Being part of the Numerati means that we'll take care of you! From our Recharge Days, maximum flexibility policy, wellness resources for employees and their families, development opportunities and much more - we're always finding ways to better support, celebrate and accelerate our team.

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