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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Join our dynamic team at an innovative insurance software company! We are seeking a Professional Services Consultant with a strong background in analytics within the insurance industry, ideally holding ACAS or near-ACAS designation. In this role, you will be instrumental in supporting our clients’ usage of our software for data extraction and analysis, developing and reviewing statistical models, and implementing effective pricing strategies.
What you’ll do:
Develop and maintain predictive models to assess risk and customer demand, guiding pricing strategies across various lines of business.
Utilize machine learning techniques and programming languages such as Python and R to enhance analytics capabilities.
Communicate complex technical results clearly and effectively, tailoring presentations for diverse audiences.
Demonstrate software functionality and provide training to new users, ensuring a smooth onboarding process.
Requirements:
You’ll do it using:
Extensive experience in the insurance industry, specifically in analytics and predictive modeling.
Proficiency in machine learning methods and programming languages (Python and R).
Exceptional communication skills, with a knack for presenting technical information in an accessible manner.
Strong ability to engage clients and provide valuable insights through data analysis.
You’ll excel by:
Focusing on the art of the possible
Communicating with honesty, candour, and respect
Collaborating seamlessly with colleagues across the company
Being resourceful and creative
Acting with empathy
You’ll love it because:
This is an incredibly impactful role in the organization.
You will have the opportunity to work in a successful, fast-moving, mission-driven company.
You will have growth opportunities.
You will collaborate with other professional and enthusiastic team members.
Earnix has competitive benefits with an all-for-one mentality.
Salary Range:
$78,000-142,000 per year
Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.
Join our dynamic team at an innovative insurance software company! We are seeking a Professional Services Consultant with a strong background in analytics within the insurance industry, ideally holding ACAS or near-ACAS designation. In this role, you will be instrumental in supporting our clients’ usage of our software for data extraction and analysis, developing and reviewing statistical models, and implementing effective pricing strategies.
What you’ll do:
Develop and maintain predictive models to assess risk and customer demand, guiding pricing strategies across various lines of business.
Utilize machine learning techniques and programming languages such as Python and R to enhance analytics capabilities.
Communicate complex technical results clearly and effectively, tailoring presentations for diverse audiences.
Demonstrate software functionality and provide training to new users, ensuring a smooth onboarding process.
Requirements:
You’ll do it using:
Extensive experience in the insurance industry, specifically in analytics and predictive modeling.
Proficiency in machine learning methods and programming languages (Python and R).
Exceptional communication skills, with a knack for presenting technical information in an accessible manner.
Strong ability to engage clients and provide valuable insights through data analysis.
You’ll excel by:
Focusing on the art of the possible
Communicating with honesty, candour, and respect
Collaborating seamlessly with colleagues across the company
Being resourceful and creative
Acting with empathy
You’ll love it because:
This is an incredibly impactful role in the organization.
You will have the opportunity to work in a successful, fast-moving, mission-driven company.
You will have growth opportunities.
You will collaborate with other professional and enthusiastic team members.
Earnix has competitive benefits with an all-for-one mentality.
Salary Range:
$78,000-142,000 per year
Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.
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
- Amazon27
- Capital One27
- Information Technology Senior Management Forum18
- Deloitte15
- Meta14
Top Industries Hiring
- Technology & Software28
- Education21
- Retail8
- Insurance7
- Banking & Financial Services7
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 Information Technology Senior Management Forum, with the largest share of openings in California, New York, and Virginia, based on current listings on Migrate Mate as of November 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 74% of data science director openings are fully remote or hybrid as of November 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 743+ Data Science Director Jobs
Find roles that match your experience and apply in just a few clicks.
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