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Director F1 Data Science Jobs (NOW HIRING)

NOVUS

Director, Data Science

Chicago, IL · On-site

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and analytics across a portfolio of analytics-engaged clients. This is a senior, hands-on role spanning the ...

Novus Print Media

Director, Data Science

Chicago, IL · Hybrid

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and analytics across a portfolio of analytics-engaged clients. This is a senior, hands-on role spanning the ...

Novartis

Director, Data Science

East Hanover, NJ · On-site +1

$194.60K - $312.40K/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 ...

Omnicom Media US PHD

Director, Data Science

New York, NY · On-site

$120K - $175K/yr

PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ... Lead and train direct reports and manage their career progression Required Skills * Hands-on ...

Formation Bio

Director, Data Science

Boston, NY · On-site

$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 ...

Omnicom Media US PHD

Director, Data Science

Chicago, IL · On-site

$120K - $175K/yr

PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ... Lead and train direct reports and manage their career progression Required Skills * Hands-on ...

Risepoint

Director, Data Science

As Director of Data Science, you'll own the models, evaluation systems, and analytical frameworks that make those experiences smarter, more responsive, and more human over time. Your work won't live ...

Risepoint

OR · On-site

As Director of Data Science, you'll own the models, evaluation systems, and analytical frameworks that make those experiences smarter, more responsive, and more human over time. Your work won't live ...

Omnicom Media US

Director, Data Science

Los Angeles, CA · On-site

$140K - $170K/yr

Experience managing data scientists and end-to-end analytics projects * Direct exposure to client media, marketing, and analytics teams Our culture and working style within the group fosters a ...

Ardian

Data Scientist Intern

Manhattan, NY

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

Walmart

Director, Data Science

Sunnyvale, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

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 ...

Walmart

Director, Data Science

Mountain View, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Walmart

Director, Data Science

San Jose, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Walmart

Director, Data Science

Hayward, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

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$154.9K

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

As of Jun 4, 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 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.

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.

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Director F1 Data Science jobs near you
Director, Data Science

Director, Data Science

NOVUS

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago

Job description

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and analytics across a portfolio of analytics-engaged clients. This is a senior, hands-on role spanning the full breadth of modern marketing measurement including marketing mix modeling, multi-touch attribution, incrementality and lift studies, clean rooms, creative effectiveness analysis, diminishing returns, and custom tools designed to fit each client question.
You will select the right methodology for each engagement, build production-quality solutions in Python, and use AI-assisted workflows (Claude, MCP, Snowflake Cortex) to multiply analytical throughput. The role offers opportunity to grow into team leadership over time as the discipline expands.
PRIMARY RESPONSIBILITIES:
Measurement & Modeling
  • Design, build, and validate measurement solutions across a wide range of approaches - marketing mix modeling, multi-touch attribution, incrementality and lift testing, causal inference, geo experimentation, creative effectiveness, and related methods
  • Operate across both proprietary and open-source methodologies; select the right approach for each client question
  • Stand up clean room and privacy-preserving measurement workflows (Snowflake Data Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, or comparable), and structure Match-Market Tests (MMTs) and Brand Lift Studies (BLS) where they fit the client question
  • Build custom analytical tools when platform solutions fall short, including:
    • Creative effectiveness analysis - wear-in/wear-out, attention metrics, creative tagging
    • Diminishing returns curves, budget optimization, and scenario planning
    • Custom causal inference designs - incrementality, geo holdouts, synthetic controls
    • Audience, channel, and creative mix analyses, and productionized tools that support the broader Analytics team

Client Partnership
  • Serve as a senior analytical presence in client relationships, supporting the Analytics team in translating complex model outputs into clear strategic recommendations
  • Participate in QBRs, measurement planning sessions, and executive-level presentations
  • Collaborate with media strategy, planning, and activation teams to ensure measurement is embedded in the planning cycle, not bolted on

Practice Development
  • Define and uphold standards for data science methodology, tooling, documentation, and QA
  • Evaluate off-the-shelf platforms for fit and develop custom solutions where appropriate, balancing modeling velocity with methodological quality
  • Share methodology and modeling expertise across the broader Data & Analytics team; contribute to a culture of analytical rigor and intellectual curiosity
  • Stay current on the measurement landscape and bring forward-looking POVs on platform changes, signal loss, and evolving best practices
REQUIREMENTS:
  • Hands-on track record across multiple advanced measurement methodologies, including MMM, attribution, incrementality, causal inference, creative effectiveness, clean rooms, and emerging methods
  • Proficiency in statistical modeling and a working understanding of Bayesian and frequentist approaches relevant to media measurement
  • Strong command of Python for production-quality modeling and tool development
  • SQL fluency and comfort working with large, fragmented datasets and modern cloud data warehouses (Snowflake or comparable)
  • Fluent in the digital ad ecosystem, including its data sources, measurement concepts, and ontology, across paid social, paid search, programmatic, and linear/streaming
  • Active, hands-on practitioner with recent direct ownership of model development and tool building
  • Working command of modern AI coding assistants (Claude, Copilot, agent-based workflows) for accelerating analysis, modeling, and tool development
  • Excellent communication skills - able to explain a partial F-test to a client-side data scientist and a budget reallocation to a CMO with equal clarity
  • Bachelor's or advanced degree in mathematics, statistics, computer science, economics, or a related quantitative field

PREFERRED:
  • Direct experience with MMM partners & tools such as Arima, OptiMine, Meridian, etc.
  • Familiarity with Snowflake and modern data stack tooling
  • Experience with creative analytics frameworks (wear-in/wear-out, attention metrics, creative tagging)
  • Background working with retail, CPG, financial services, or other data-intensive verticals
  • Exposure to privacy-preserving measurement approaches (clean rooms, modeled conversions, aggregated signals)
  • 8-12 years of professional experience in marketing analytics, data science, or a closely related field
  • Agency-side or media measurement experience is desirable, but not required

Please Note: This is a hybrid position requiring a combination of in-office work at our Chicago location and remote work from home. The specific schedule will be finalized upon hire. We are only looking for candidates in/around the Chicago Metro Area and do not offer relocation assistance.
WHY WORK AT NOVUS:
We Bring Brands To Where People Live Their Lives.
NOVUS is an independent local media planning and buying agency. We are focused on local media of all types including video, audio, OOH, digital, and print. We have carved out a unique position in the marketplace; with comprehensive data sets, proprietary tools and some of the best strategists in the industry, NOVUS builds and executes plans that achieve remarkable results.
NOVUS provides a collaborative work environment, with career advancement potential and offers an array of benefits as well as considerable time off allowances. Additionally, as a mid-sized agency, team members have direct exposure to senior management on a regular basis and they get the opportunity to work on a range of assignments with significant responsibilities. By joining one of the premier media companies in the industry, you'll be part of a team that is passionate, engaged, forward-thinking and seizing opportunities daily.
Position Salary
We are committed to providing salary ranges for all open positions. Please note that the specific compensation for this role will be determined based on your experience, qualifications, location, and internal equity considerations. The salary range for this position is: $180,000 - $210,000. This range reflects the base salary for this position.
NOVUS Benefits
NOVUS offers a full array of health care and wellness benefits, which currently includes medical, prescription, dental, vision, life and accidental death & dismemberment insurances, short and long-term disability, pre-tax flexible spending accounts, a health savings account, legal services, identity theft protection and an employee assistance program. Eligible employees are those that are full-time salaried or part-time salaried employees working 30 hours per week or more, as well as those whose eligibility is required by applicable state law. A group retirement savings plan is also available to all salaried employees. While the Company continually seeks to improve upon and add to its current benefits suite, it believes you will find the benefit programs as comprehensive as any in the industry.
A Word on Diversity
Novus Media is committed to a policy of Equal Employment Opportunity and will not discriminate against and applicant or employee of the Company, on the basis of race, religion, ethnicity, national origin, ancestry, marital or family status, age, gender identity or expression, gender, sexual orientation, disability, or any other characteristic protected by law. Our agency is committed to creating a workplace where every employee feels welcomed, respected, and valued. We embrace diversity in all its forms, and we strongly encourage people from a variety of backgrounds to apply.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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