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Director Data Science Jobs (NOW HIRING)

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 ...

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 ...

Walmart

Director, Data Science- Forecasting

Hayward, CA

$169K - $338K/yr

As Director, Data Science , you will lead and develop a team that enables Walmart US in-store and e-commerce. This role is focused on people leadership and operational optimization --translating ...

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 ...

Formation Bio

Director, Data Science

Boston, MA · 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 ...

Walmart

Director, Data Science- Forecasting

Fremont, CA

$169K - $338K/yr

As Director, Data Science , you will lead and develop a team that enables Walmart US in-store and e-commerce. This role is focused on people leadership and operational optimization --translating ...

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How much do director data science jobs pay per year?

As of Jun 7, 2026, the average yearly pay for director 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 in the Director Data Science position, and why are they important?

To thrive as a Director Data Science, you need a deep understanding of advanced statistical modeling, machine learning, and data strategy, typically backed by an advanced degree in a quantitative field and significant leadership experience. Proficiency with tools such as Python, R, SQL, cloud data platforms, and familiarity with data governance frameworks and certifications like Certified Analytics Professional (CAP) are common requirements. Outstanding communication, stakeholder management, and team leadership abilities make candidates stand out in this position. These skills ensure the successful translation of complex data insights into actionable business strategies and the effective leadership of high-performing data science teams.

What is a Director Data Science job?

A Director of Data Science leads a team of data scientists and analysts to drive data-driven decision-making within an organization. They develop strategic initiatives, oversee machine learning and analytics projects, and collaborate with executives to align data efforts with business goals. The role requires expertise in data science, leadership, and communication to translate complex insights into actionable strategies.

What types of teams and professionals will I collaborate with as a Director Data Science?

As a Director Data Science, you will regularly collaborate with cross-functional teams including business analysts, data engineers, software developers, product managers, and senior executives. Your role often involves translating business goals into data-driven strategies, as well as mentoring and guiding data scientists and analysts on your team. You may also work closely with stakeholders from marketing, operations, and finance to align analytics initiatives with organizational objectives. This collaborative environment fosters innovative solutions and ensures data science efforts have a meaningful impact on overall business performance.

More about Director Data Science jobs
What cities are hiring for Director Data Science jobs? Cities with the most Director Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Director Data Science jobs? States with the most job openings for Director Data Science jobs include:
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Director Data Science jobs near you
Infographic showing various Director Data Science job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $154,873 per year, or $74.5 per hour.

Director, Data Science

Omnicom Media US

Los Angeles, CA • On-site

$140K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

Omnicom Media (OM), the media services division of Omnicom Group Inc. (NYSE: OMC) - delivers transformational experiences for consumers, clients, and talent. Powered by the Omni marketing orchestration system, OM connects best-in-class capabilities that enable our full-service media agencies OMD, PHD, and Hearts & Science to deliver more relevant and actionable consumer experiences, more productive and proactive client experiences, and more collaborative and rewarding talent experiences for the more than 24,000 people serving the world's leading brands in OM agencies around the globe.
Team Overview
We are a team of engaged data-curious professionals who continuously seek new and improved ways to learn from our extensive data assets. We share ideas, code, outcomes, and credit for our collective efforts. We're looking for explorative, independent data scientists to grow with us as we tackle ever-changing challenges.
Position Overview
As a company, we serve as the foundational data and technology layer in which analytics and insights can be accessed through a single lens. Our main goal is to advance our clients' advertising and marketing strategies through the use of smart data and technology application that unlock insights and drive business results. Our unique approach to data and technology - one that relies on transparency, neutrality, and interoperability - allows us to deliver purpose-built and scalable solutions that make data actionable. We have teams of analysts, data and marketing scientists, consultants, and technical experts to help us meet the business goals of our clients.
Join our dynamic and diverse team - data solutions for marketers, by marketers.
Key Responsibilities
As a member of the Data Science team, you will work with agency strategists and media buyers to create solutions that shape the strategic direction of your client's marketing plans through data-driven insights, audience solutions, and measurement techniques.
This will involve
  • Interacting with client and programmatic teams (internal agency and external) to plan & execute optimization strategies as well as test & measurement plans related to media performance
  • Working with tech partners directly regarding data, clean rooms, custom bidding platform functionality, and troubleshooting related issues
  • Working with data from ad servers, DSPs, measurement partners, and other online and offline datasets to develop client-specific solutions
  • Collaboratively ideating and building tools that aid with analysis and ML transparency, visualization, and performance measurement

Required Skills And Qualifications
  • 6+ years of industry experience; knowledge of ad-tech ecosystem, programmatic advertising, and agency work experience a plus
  • Bachelor's degree in statistics, mathematics, economics, engineering, information management, social sciences, or business/marketing related fields
  • Advanced quantitative degree or intensive bootcamp experience is preferred
  • Must have hands-on expertise in Python; SQL proficiency preferred
  • Experience with cloud computing platforms such as AWS or GCP
  • 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 positive, productive, entrepreneurial team spirit. We demonstrate a strong working knowledge of media across all channels and are data driven in our approach. We use analytic and technical knowledge to identify the most effective strategies to address our clients' needs. We also work to stay sharp and up to date with our skills and trends in the marketplace that help us bring the best for our clients.
#LI-CC2
This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.
Compensation Range
$140,000-$170,000 USD
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
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