Data Science Lead Jobs
Data Science Lead jobs are open across technology, healthcare, finance, and retail, from senior individual contributor to principal and director levels, with specializations in machine learning, analytics engineering, and applied research. 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 Lead Jobs by Experience Level
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Find Data Science Lead JobsData Science Lead Job Market
Who's Hiring
- Amazon27
- Capital One27
- Information Technology Senior Management Forum18
- Deloitte15
- Meta14
Top Industries Hiring
- Technology & Software29
- Education21
- Retail8
- Insurance7
- Banking & Financial Services7
What Employers Look For
The qualifications that appear most often in data science lead jobs.
- 5+ years of experience in data science with at least 2 years in a lead or senior role
- Proficiency in Python or R along with SQL for data manipulation and modeling workflows
- Experience deploying machine learning models to production environments at scale
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for data infrastructure
- Demonstrated ability to mentor junior data scientists and manage cross-functional projects
- Graduate degree in statistics, computer science, mathematics, or a closely related field
Tips for Your Data Science Lead Job Search
Quantify impact at the team level
Your resume needs to show outcomes you drove as a lead, not just your individual work. Highlight model deployment cycles you shortened, team velocity you improved, or revenue impact from decisions your team's models informed. Hiring managers are evaluating whether you can lead people, not just build pipelines.
Apply early to roles that fit
Migrate Mate lists data science lead openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Tailor your portfolio for leadership scope
Showcase projects where you defined the problem, structured the team's approach, and owned the stakeholder communication, not just the modeling work. A GitHub repo of solo notebooks signals an individual contributor, not a lead. Include documentation, roadmaps, or retrospectives that show how you guided a team through ambiguity.
Filter openings by reporting structure
Data science lead roles vary widely, some report into engineering, others into product or analytics. Before you apply, read the job description for who you'd report to and who would report to you. A role buried inside an engineering org will have different expectations than one sitting directly under a chief data officer.
Prepare a cross-functional conflict story
Interviewers at the lead level almost always ask how you've handled disagreements with engineering, product, or business stakeholders over model priorities or data definitions. Walk in with a specific story that shows you resolved the conflict without escalating and moved the project forward.
Negotiate scope before you negotiate compensation
Once you receive an offer, clarify headcount, tooling budget, and whether the team exists or needs to be built. A data science lead role at a company without a functioning data infrastructure is a different job than the title suggests, and scope directly affects your leverage in compensation discussions.
Data Science Lead Jobs: Frequently Asked Questions
Which companies are hiring the most data science leads?
The companies hiring the most data science leads 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. Technology, healthcare, and financial services companies consistently post the highest volume of data science lead openings.
How many data science lead jobs are remote?
About 74% of data science lead openings are fully remote or hybrid as of November 2026, making it one of the more flexible roles at the senior level. Sub-areas like applied machine learning research and analytics engineering tend to have the highest share of fully remote postings, while roles that require close collaboration with on-site engineering teams are more likely to be hybrid.
How do you become a data science lead?
You become a data science lead by first building deep individual contributor experience in machine learning, statistical modeling, or analytics, then taking on informal mentorship and project ownership before seeking a formal lead title. The clearest path is to volunteer to lead a cross-functional project, document the outcomes, and make that work visible to your manager when a lead role opens.
Can you get a data science lead job without prior management experience?
You can get a data science lead job without formal management experience if you can demonstrate informal leadership, such as mentoring junior team members, owning a project end-to-end, or driving a technical decision that affected the broader team. Smaller companies and startups are more likely to hire a strong senior data scientist into a first lead role than large enterprises, which typically require prior people management.
What does the data science lead interview process look like?
The data science lead interview process typically includes a recruiter screen, a technical take-home or live coding assessment focused on modeling and SQL, a system design or case study round where you architect a machine learning solution, and a behavioral round assessing leadership and cross-functional collaboration. Many companies add a stakeholder or executive presentation, where you walk through past work and field business-focused questions about how you prioritized and communicated results.
Where can I find and apply to data science lead jobs?
You can find and apply to data science lead jobs on Migrate Mate, which lists current openings from across the United States in one place. Find roles that match your background and apply directly to each listing from the results on this page.
See All 743+ Data Science Lead Jobs
Find roles that match your experience and apply in just a few clicks.
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