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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Showing 5 of 649+ Data Science Director jobs
DESCRIPTION
Amazon's Global Procurement Organization is on a mission to transform how procurement works at Amazon scale. We build the technology that powers billions of dollars in purchasing decisions, and We're looking for a Data Science Manager to lead the delivery of technical solutions and programs focused on inventory management of non-inventory supplies across Amazon's global operations. This is a high-impact role at the intersection of technology, operations, and business strategy — where your work directly influences how Amazon procures and manages supplies at scale.
BASIC QUALIFICATIONS
- 5+ years of building quantitative solutions as a scientist or science manager experience
- 2+ years of scientists or machine learning engineers management experience
- 5+ years of applying statistical models for large-scale application and building automated analytical systems experience
- PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Knowledge of Python or R or other scripting language
PREFERRED QUALIFICATIONS
- Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Irvine - 175,100.00 - 236,900.00 USD annually
DESCRIPTION
Amazon's Global Procurement Organization is on a mission to transform how procurement works at Amazon scale. We build the technology that powers billions of dollars in purchasing decisions, and We're looking for a Data Science Manager to lead the delivery of technical solutions and programs focused on inventory management of non-inventory supplies across Amazon's global operations. This is a high-impact role at the intersection of technology, operations, and business strategy — where your work directly influences how Amazon procures and manages supplies at scale.
BASIC QUALIFICATIONS
- 5+ years of building quantitative solutions as a scientist or science manager experience
- 2+ years of scientists or machine learning engineers management experience
- 5+ years of applying statistical models for large-scale application and building automated analytical systems experience
- PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Knowledge of Python or R or other scripting language
PREFERRED QUALIFICATIONS
- Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Irvine - 175,100.00 - 236,900.00 USD annually
Data Science Director Jobs by Experience Level
Top Cities Hiring Data Science Directors
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Find Data Science Director JobsData Science Director Job Market
Who's Hiring
- Amazon33
- Capital One18
- Walmart16
- Deloitte12
- TikTok10
Top Industries Hiring
- Technology & Software45
- Education23
- Retail13
- Banking & Financial Services13
- Insurance9
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 Amazon, Capital One, and Walmart, with the largest share of openings in California, New York, and Virginia, based on current listings on Migrate Mate as of September 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 64% of data science director openings are fully remote or hybrid as of September 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 649+ Data Science Director Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Science Director Jobs