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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MINIMUM REQUIREMENTS: Bachelor’s degree or its U.S. equivalent in Computer Science, Information Systems, Computer Engineering, or a related field, plus 5 years of professional experience as a Sr. Data Analyst, Data Modeler, or any occupation, job title, position involving data analysis, data management, and database design.
Must also have experience in the following: 5 years of professional experience writing, optimizing, and troubleshooting advanced SQL queries; including complex joins, aggregations, subqueries, stored procedures, functions, and performance tuning in relational databases; 5 years of professional experience performing data manipulation, automation, and statistical analysis, including building robust data pipelines and ETL processes to integrate disparate railroad data sources; 5 years of professional experience documenting SQL queries, logic, data workflows, and analytics results for technical and non-technical stakeholders; 5 years of professional experience working with cross-functional teams (including business, IT, and finance) to gather requirements, clarify business needs, and deliver solutions strictly via SQL; 4 years of professional experience utilizing statistical analysis, including regression analysis, time-series forecasting, applied to rail operations data to generate insights; 3 years of professional experience developing executive dashboards and interactive reports using tools including Power BI or Qlik, to communicate operational insights and performance metrics effectively; 3 years of professional experience in rail transportation operations, including knowledge of industry terminology and processes, and applying this knowledge to support analysis and decision-making in a railroad environment.
CONTACT: Apply online at cpkcr.com/en/careers or submit resume via email to prabh.sandhu@cpkcr.com. Must specify Ad Code PSPT.
MINIMUM REQUIREMENTS: Bachelor’s degree or its U.S. equivalent in Computer Science, Information Systems, Computer Engineering, or a related field, plus 5 years of professional experience as a Sr. Data Analyst, Data Modeler, or any occupation, job title, position involving data analysis, data management, and database design.
Must also have experience in the following: 5 years of professional experience writing, optimizing, and troubleshooting advanced SQL queries; including complex joins, aggregations, subqueries, stored procedures, functions, and performance tuning in relational databases; 5 years of professional experience performing data manipulation, automation, and statistical analysis, including building robust data pipelines and ETL processes to integrate disparate railroad data sources; 5 years of professional experience documenting SQL queries, logic, data workflows, and analytics results for technical and non-technical stakeholders; 5 years of professional experience working with cross-functional teams (including business, IT, and finance) to gather requirements, clarify business needs, and deliver solutions strictly via SQL; 4 years of professional experience utilizing statistical analysis, including regression analysis, time-series forecasting, applied to rail operations data to generate insights; 3 years of professional experience developing executive dashboards and interactive reports using tools including Power BI or Qlik, to communicate operational insights and performance metrics effectively; 3 years of professional experience in rail transportation operations, including knowledge of industry terminology and processes, and applying this knowledge to support analysis and decision-making in a railroad environment.
CONTACT: Apply online at cpkcr.com/en/careers or submit resume via email to prabh.sandhu@cpkcr.com. Must specify Ad Code PSPT.
Data Science Lead Jobs by Experience Level
Top Cities Hiring Data Science Leads
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Find Data Science Lead JobsData Science Lead Job Market
Who's Hiring
- Amazon30
- Capital One24
- Meta15
- Deloitte12
- Information Technology Senior Management Forum12
Top Industries Hiring
- Technology & Software69
- Retail27
- Education24
- Banking & Financial Services23
- Consulting & Professional Services19
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 Meta, with the largest share of openings in California, New York, and Virginia, based on current listings on Migrate Mate as of August 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 64% of data science lead openings are fully remote or hybrid as of August 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 585+ Data Science Lead Jobs
Find roles that match your experience and apply in just a few clicks.
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