Data Science Director Jobs
Data Science Director jobs are open across technology, finance, healthcare, and retail, from senior individual contributors stepping into leadership to seasoned directors with decade-long tenures, with specializations in machine learning, analytics strategy, and AI product development. Find a role that fits from the openings below and apply directly.
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INTRODUCTION
We’re looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.
ABOUT THE ROLE
People leadership: You will inspire, lead and grow a world-class team.
Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
DATA SCIENCE DIRECTOR RESPONSIBILITIES:
- Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
- Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
- Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
- Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
MINIMUM QUALIFICATIONS:
- 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
- Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds.
- Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
- Intellectual curiosity, drive, and decisiveness with ambiguous and complex environments.
- Experience working effectively with multiple stakeholders and cross-functionally.
- Effective communication skills.
PREFERRED QUALIFICATIONS:
- Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
ABOUT META:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
INTRODUCTION
We’re looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.
ABOUT THE ROLE
People leadership: You will inspire, lead and grow a world-class team.
Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
DATA SCIENCE DIRECTOR RESPONSIBILITIES:
- Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
- Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
- Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
- Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
MINIMUM QUALIFICATIONS:
- 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
- Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds.
- Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
- Intellectual curiosity, drive, and decisiveness with ambiguous and complex environments.
- Experience working effectively with multiple stakeholders and cross-functionally.
- Effective communication skills.
PREFERRED QUALIFICATIONS:
- Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
ABOUT META:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Find Data Science Director JobsData Science Director Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Alvarez & Marsal24
- Clarivate17
- Walmart16
- Meta14
- Tiger Analytics14
Top Industries Hiring
- Technology & Software171
- Biotechnology & Pharmaceuticals159
- Consulting & Professional Services101
- Education65
- Healthcare & Medical Services49
What Employers Look For
The qualifications that appear most often in data science director jobs.
- 7 to 10 years of experience in data science with at least 3 in a people management role
- Proficiency in Python, SQL, and machine learning frameworks such as scikit-learn or PyTorch
- Experience building and deploying production-grade ML models in cloud environments like AWS, GCP, or Azure
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related quantitative field
- Demonstrated ability to translate business problems into data science roadmaps and communicate findings to executives
- Familiarity with MLOps practices, model monitoring, and data pipeline tools such as Airflow or Databricks
Tips for Your Data Science Director Job Search
Quantify your team and model impact
Hiring panels for data science director roles want to see headcount managed, model accuracy gains, and revenue or cost outcomes you drove. Rewrite every bullet on your resume to name the team size, the metric moved, and the business result.
Tailor your stack to each listing
Data science director postings vary sharply on tooling, with some prioritizing Python and MLflow, others demanding experience with Databricks, Snowflake, or SageMaker. Match your resume's technical summary to the stack named in the job description before you apply.
Apply early to roles that fit
Migrate Mate lists data science director openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Show your cross-functional leadership range
Directors are evaluated on how well they partner with product, engineering, and finance, not just on modeling skills. Your resume and cover letter should name specific cross-functional initiatives you led and the business decisions your team's work informed.
Prepare a portfolio of leadership decisions
Interviewers at the director level ask how you've hired, structured, and developed a team as often as they ask about modeling. Come prepared with two or three concrete examples of how you built out a function, resolved a capability gap, or mentored someone into a new role.
Negotiate scope before you negotiate salary
Before accepting an offer, confirm the team size, reporting structure, and decision-making authority you'll hold from day one. Directors who don't clarify scope upfront often find themselves with a director title but manager-level autonomy, which limits both impact and future progression.
Data Science Director Jobs: Frequently Asked Questions
Which companies are hiring the most data science directors?
The companies hiring the most data science directors right now include Alvarez & Marsal, Clarivate, and Walmart, with the largest share of openings in California, New York, and New Jersey, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in technology, financial services, and healthcare, though large retailers and consulting firms are also posting frequently.
How many data science director jobs are remote?
About 37% of data science director openings are fully remote or hybrid as of June 2026, making this one of the more remote-accessible leadership roles in tech. Sub-areas such as AI research strategy, analytics platform development, and machine learning infrastructure tend to skew more remote than roles requiring close collaboration with on-site product or clinical teams.
How do you become a data science director?
Becoming a data science director typically requires progressing from individual contributor to senior data scientist, then into a team lead or manager position where you own hiring, roadmapping, and stakeholder communication. From there, building a portfolio of cross-functional projects you led end-to-end, ideally with measurable business outcomes, is what positions you for the director step. Most directors also develop executive communication skills that let them translate technical work into strategic decisions.
Can you get a data science director job without prior director experience?
Yes, but you'll need to close the gap with demonstrated leadership scope rather than title. Candidates who succeed at the director level without prior director experience typically come from senior manager or principal scientist roles where they owned a team, drove a multi-quarter roadmap, and presented results to executive stakeholders. Emphasizing those outcomes in your resume and being specific about team size and budget responsibility will matter more than the label your previous employer used.
What does the data science director interview process look like?
The data science director interview process typically runs three to five rounds, starting with a recruiter screen and a hiring manager conversation focused on leadership philosophy and team-building experience. Technical rounds often include a case study or take-home where you design a modeling approach for a business problem. Later rounds bring in cross-functional partners from product and engineering, and a final round with a VP or Chief Data Officer covers strategic vision, roadmap prioritization, and organizational fit.
Where can I find and apply to data science director jobs?
You can find and apply to data science director jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your background, find the ones that fit, and apply directly to each listing from the page.
See All 838+ Data Science Director Jobs
Jump back to the full list of openings and apply to any data science director role that fits.
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