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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Now Brewing – director of data science – Coffeehouse Analytics! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
Join a transformative journey at the intersection of data, technology, and operations.
This strategic leadership role is pivotal in shaping how data science drives store development, staffing, deployment, experimentation, and market decisions across our coffeehouse network. You will lead multiple high-impact data science teams focused on building decision-support systems, optimization models, and experimentation frameworks that improve partner experience, operational efficiency, and business outcomes at scale.
As a director of data science, you will bring a strong product and people leadership mindset, balancing deep technical understanding with the ability to translate complex analytics into practical, actionable solutions. You will be a visible advocate for data science as a core capability for operational excellence and continuous improvement. This is a unique opportunity to lead a talented organization, influence enterprise decisions, and materially impact how Starbucks plans, operates, and learns.
As a director of data science – Coffeehouse Analytics, you will…
- Lead End-to-End Decision Science for Operations: Own data science strategy across staffing, scheduling, routing and deployment, market planning analytics, and coffeehouse testing—ensuring models and insights directly inform real-world decisions.
- Build and Scale High-Impact Teams: Lead, mentor, and grow multiple teams of data scientists and managers, fostering strong technical rigor, product thinking, and business partnership.
- Operational Planning & Optimization Leadership: Guide the development of predictive, optimization, and diagnostic models that support labor planning, capacity management, deployment tradeoffs, and network performance.
- Experimentation & Measurement Excellence: Oversee experimentation design, causal inference, and an internal test-and-learn framework that enables rapid, trustworthy learning across coffeehouses and markets.
- Translate Analytics into Action: Partner closely with operations, finance, engineering, and field leaders to turn complex analytics into clear recommendations, tools, and decision frameworks.
- Influence Through Storytelling: Communicate insights, tradeoffs, and model outputs in compelling ways to senior leaders, helping shape strategy, prioritization, and investment decisions.
- Champion Adoption and Trust: Drive adoption of analytics products by ensuring they are usable, explainable, and embedded in operational workflows.
- Build Durable Data Science Products: Apply systems thinking to design scalable, reusable analytical products that move beyond one-off analyses and support long-term capability building.
- Strengthen Cross-Functional Collaboration: Work closely with data engineering, tools, and platform teams to ensure analytics solutions are production-ready, reliable, and extensible.
We’d love to hear from people with:
- Proven experience leading data science or advanced analytics teams, ideally supporting retail operations, store development, or labor.
- Strong background in applied analytics, including forecasting, optimization, experimentation, and decision-support systems.
- Experience building and scaling analytical products that are used in day-to-day business decision-making.
- In-depth experience with Python and reviewing production-quality analytical code.
- Ability to translate complex quantitative work into clear, actionable insights for executive and operational audiences.
- Strong cross-functional partnership and influencing skills, with a track record of driving outcomes through collaboration.
- Experience mentoring and developing data scientists and people leaders.
- Comfort operating in ambiguity and helping teams move from problem framing to scalable solutions.
- Experience driving the evolution from descriptive reporting to predictive and prescriptive decision support, including demand forecasting, capacity diagnostics, and optimization under real‑world constraints.
- Comfort balancing statistical rigor, AI innovation, and practical business constraints.
Join us and help shape the future of data-driven operations at Starbucks. Apply today!
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.
- If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week.
Join us and inspire with every cup. Apply today!
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.
Now Brewing – director of data science – Coffeehouse Analytics! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
Join a transformative journey at the intersection of data, technology, and operations.
This strategic leadership role is pivotal in shaping how data science drives store development, staffing, deployment, experimentation, and market decisions across our coffeehouse network. You will lead multiple high-impact data science teams focused on building decision-support systems, optimization models, and experimentation frameworks that improve partner experience, operational efficiency, and business outcomes at scale.
As a director of data science, you will bring a strong product and people leadership mindset, balancing deep technical understanding with the ability to translate complex analytics into practical, actionable solutions. You will be a visible advocate for data science as a core capability for operational excellence and continuous improvement. This is a unique opportunity to lead a talented organization, influence enterprise decisions, and materially impact how Starbucks plans, operates, and learns.
As a director of data science – Coffeehouse Analytics, you will…
- Lead End-to-End Decision Science for Operations: Own data science strategy across staffing, scheduling, routing and deployment, market planning analytics, and coffeehouse testing—ensuring models and insights directly inform real-world decisions.
- Build and Scale High-Impact Teams: Lead, mentor, and grow multiple teams of data scientists and managers, fostering strong technical rigor, product thinking, and business partnership.
- Operational Planning & Optimization Leadership: Guide the development of predictive, optimization, and diagnostic models that support labor planning, capacity management, deployment tradeoffs, and network performance.
- Experimentation & Measurement Excellence: Oversee experimentation design, causal inference, and an internal test-and-learn framework that enables rapid, trustworthy learning across coffeehouses and markets.
- Translate Analytics into Action: Partner closely with operations, finance, engineering, and field leaders to turn complex analytics into clear recommendations, tools, and decision frameworks.
- Influence Through Storytelling: Communicate insights, tradeoffs, and model outputs in compelling ways to senior leaders, helping shape strategy, prioritization, and investment decisions.
- Champion Adoption and Trust: Drive adoption of analytics products by ensuring they are usable, explainable, and embedded in operational workflows.
- Build Durable Data Science Products: Apply systems thinking to design scalable, reusable analytical products that move beyond one-off analyses and support long-term capability building.
- Strengthen Cross-Functional Collaboration: Work closely with data engineering, tools, and platform teams to ensure analytics solutions are production-ready, reliable, and extensible.
We’d love to hear from people with:
- Proven experience leading data science or advanced analytics teams, ideally supporting retail operations, store development, or labor.
- Strong background in applied analytics, including forecasting, optimization, experimentation, and decision-support systems.
- Experience building and scaling analytical products that are used in day-to-day business decision-making.
- In-depth experience with Python and reviewing production-quality analytical code.
- Ability to translate complex quantitative work into clear, actionable insights for executive and operational audiences.
- Strong cross-functional partnership and influencing skills, with a track record of driving outcomes through collaboration.
- Experience mentoring and developing data scientists and people leaders.
- Comfort operating in ambiguity and helping teams move from problem framing to scalable solutions.
- Experience driving the evolution from descriptive reporting to predictive and prescriptive decision support, including demand forecasting, capacity diagnostics, and optimization under real‑world constraints.
- Comfort balancing statistical rigor, AI innovation, and practical business constraints.
Join us and help shape the future of data-driven operations at Starbucks. Apply today!
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.
- If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week.
Join us and inspire with every cup. Apply today!
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.
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
- Amazon30
- Capital One23
- Meta15
- Information Technology Senior Management Forum12
- Apple11
Top Industries Hiring
- Technology & Software68
- Retail27
- Education24
- Banking & Financial Services22
- Consulting & Professional Services19
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 Meta, with the largest share of openings in California, New York, and Virginia, based on current listings on Migrate Mate as of August 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 August 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 580+ Data Science Director Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Science Director Jobs