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Director F1 Data Science Jobs (NOW HIRING)

Superhuman

Director, Data Science

San Francisco, CA · On-site

$302K - $415K/yr

The Opportunity As Director, Data Science , you will lead the data science strategy and team for a core product in our AI-native suite that works everywhere our customers work-powering agentic ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

What you'll do...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 ...

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 ...

Wellmark, Inc.

Data Science Associate

Des Moines, IA · On-site

$21/hr

Specific exposure with hands-on data analysis of databases and files using SQL dialects and ... F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs ...

ServiceTitan

Director, Data Science

Glendale, CA · On-site +1

Ready to be a Titan? We're seeking a Director of Data Science for Operations to lead data science and applied AI across two connected domains: our operational core and the post-sales product ...

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 ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

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

Walmart

Director, Data Science

Bellevue, WA

$156K - $312K/yr

AsDirector, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused ontechnical and thought leadership, people developmentandoperational process ...

Meta

Data Science Director

New York, NY

$314K/yr

Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data scientists and data science leaders across North America and Europe. * Apply your expertise in quantitative ...

Meta

Data Science Director

Menlo Park, CA

$314K/yr

Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data scientists and data science leaders across North America and Europe. * Apply your expertise in quantitative ...

Ardian

Data Scientist Intern

New York, NY · On-site

Integrated within the data science team, the intern data scientist will work on data projects ... It also offers direct exposure to the management of the concerned companies, as well as current ...

The Jacobson Group

$175K - $200K/yr

Our client, a regional property and casualty insurance company, is seeking a Data Science Director. This individual will translate data into actionable strategies for the executive leadership team.

Boot Barn

Director, Data Science & Insights

Irvine, CA

$150K - $200K/yr

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build ...

Boot Barn

Director, Data Science & Insights

Irvine, CA · On-site

$150K - $200K/yr

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build ...

CookUnity

OR

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond ...

CookUnity

Director, Data Science/ML

New York, NY

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond ...

CookUnity

Director, Data Science/ML

Miami, FL

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond ...

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Director F1 Data Science information

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$54K

$154.9K

$244K

How much do director f1 data science jobs pay per year?

As of Jul 23, 2026, the average yearly pay for director f1 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 F1 Data Science do?

A Director of F1 Data Science leads a team responsible for analyzing and interpreting complex data related to Formula 1 racing. Their role involves overseeing the development and implementation of data-driven strategies to improve car performance, race strategy, and overall team competitiveness. They collaborate with engineers, data analysts, and race strategists to turn raw data into actionable insights. Additionally, they ensure the use of the latest technologies and methodologies in data science to maintain a competitive edge.

What is the difference between Director F1 Data Science vs Data Scientist?

AspectDirector F1 Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentStrategic leadership, team management, cross-department collaborationData analysis, model development, coding, and experimentation
Employer & Industry UsageAutomotive, motorsport teams, analytics firmsTech companies, finance, healthcare, research institutions

The main difference is that the Director F1 Data Science oversees strategic projects and manages teams within the motorsport industry, while a Data Scientist focuses on hands-on data analysis and model building. The director role requires leadership skills and industry experience, whereas the data scientist role emphasizes technical expertise and coding skills.

What are the key skills and qualifications needed to thrive as a Director F1 Data Science, and why are they important?

To thrive as a Director F1 Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a relevant graduate degree and significant experience in motorsport or a similar high-performance environment. Familiarity with tools such as Python, MATLAB, cloud computing platforms, and race data analysis systems is essential, along with a track record of handling large-scale telemetry and simulation data. Strong leadership, strategic thinking, and clear communication are vital soft skills for guiding teams and collaborating with engineers, drivers, and executives. These abilities drive data-driven decision-making and innovation, directly impacting race strategy, car performance, and competitive advantage in Formula 1.

How does a Director of F1 Data Science typically collaborate with racing engineers and other technical teams?

A Director of F1 Data Science works closely with racing engineers, aerodynamics specialists, strategists, and software developers to turn complex data into actionable insights. This role involves leading data science projects that help optimize car performance, race strategy, and driver feedback by effectively communicating analytical findings to technical and non-technical stakeholders. Collaboration often includes attending engineering meetings, coordinating data collection during testing, and integrating data solutions into day-to-day team operations to ensure everyone is aligned toward the team’s performance goals.
More about Director F1 Data Science jobs
What cities are hiring for Director F1 Data Science jobs? Cities with the most Director F1 Data Science job openings:
What are the most commonly searched types of F1 Data Science jobs? The most popular types of F1 Data Science jobs are:
What states have the most Director F1 Data Science jobs? States with the most job openings for Director F1 Data Science jobs include:
What job categories do people searching Director F1 Data Science jobs look for? The top searched job categories for Director F1 Data Science jobs are:
Director F1 Data Science jobs near you
Infographic showing various Director F1 Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $154,873 per year, or $74.5 per hour.
Director, Data Science

Director, Data Science

Superhuman

San Francisco, CA • On-site

$302K - $415K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.
Superhuman team members for this role must be based in the San Francisco Bay Area.
About Superhuman
Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the Superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Superhuman Docs's collaborative workspaces, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Refounded in 2025, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here.
The Opportunity
As Director, Data Science, you will lead the data science strategy and team for a core product in our AI-native suite that works everywhere our customers work-powering agentic features across surfaces and making our products the best place to write, track, and build. You will shape how data informs product direction, investment decisions, and user experience, partnering closely with Product, Engineering, Design, GTM, and company leadership to unlock growth and deliver measurable impact.
We're building and growing our Data Science teams in San Francisco and New York, with one Data Science leader anchored in each hub.
In either role, you will build and mentor a high-performing data science team that combines strategic thinking with hands-on execution. You'll guide the team in tackling high-impact product, growth, and business questions; develop rigorous experimentation and measurement practices; and help ensure that decisions are grounded in deep user understanding and clear business outcomes.
This is an opportunity to work on a product used by millions, collaborate with a globally distributed and highly cross-functional team, and apply the latest technologies to shape the future of AI-powered productivity.
You'll be especially well-positioned to succeed if you are energized by building in fast-moving environments, raising the bar on analytical rigor, and developing exceptional teams. This role is ideal for a leader who can move fluidly between vision and execution-someone who can set direction, coach senior talent, influence across functions, and turn ambiguity into focus and momentum.
Qualifications
  • 10+ years of experience in data science, analytics, experimentation, or a related quantitative field, including significant experience leading high-performing teams.
  • Proven track record of setting data science strategy for product-led or growth-focused organizations and translating business goals into clear analytical priorities.
  • Deep expertise in experimentation, causal inference, statistical analysis, and measurement frameworks, with strong judgment on how to apply rigor in fast-moving product environments.
  • Strong fluency in SQL, R, Python, and/or modern data tooling, with the ability to guide teams on analytical best practices, data quality, and scalable measurement approaches.
  • Experience partnering closely with Product, Engineering, Design, and GTM leaders to influence roadmap decisions, shape product strategy, and drive measurable business outcomes.
  • Track record of coaching senior talent, elevating team performance, and creating an inclusive environment where individuals can do their best work.
  • Exceptional written and verbal communication skills, including the ability to influence executives and align cross-functional stakeholders around data-informed decisions. Keen eye and attention to detail for the visual display of quantitative information.
  • Strong product sense and business judgment, with the ability to connect user behavior, company strategy, and commercial outcomes.
  • Ability to operate with high autonomy, manage ambiguity effectively, and move seamlessly between long-term strategy and day-to-day execution.
Compensation and Benefits
Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more:
  • Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
  • Disability and life insurance options
  • 401(k) and RRSP matching
  • Paid parental leave
  • 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
  • Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
  • Annual professional development budget and opportunities

Superhuman takes a market-based approach to compensation so that base pay may vary by location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position, by compensation zone, are outlined below and may be modified in the future.
We encourage you to apply
At Superhuman, we value our differences and encourage everyone to apply-especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

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