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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Showing 5 of 1,177+ Data Science Lead jobs
Senior Data Science Lead - R01566414
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Primary Skills
- Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
Specialization
- Data Science Advanced: Data Specialist
Job Requirements
- Experience Range: 12+ years of experience in data science, including hands-on expertise in advanced statistical modeling and machine learning
- Location: Deerfield Beach, FL
- Work Type: Hybrid min 3 days onsite per week
Key Responsibilities:
- Lead the design and implementation of complex data science solutions to drive business impact and inform strategic decision-making
- Develop, validate, and optimize advanced statistical and machine learning models, including regression, classification, and forecasting algorithms
- Collaborate with cross-functional teams to translate business objectives into actionable analytics projects and deliver measurable outcomes
- Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning
- Leverage Python, R, and relevant frameworks to build scalable data pipelines and automate model deployment using tools such as KubeFlow and BentoML
- Conduct rigorous statistical analysis, including hypothesis testing, T-Test, Z-Test, and probabilistic graph modeling to uncover actionable insights
- Implement and monitor model validation, explainability, and performance tracking using tools like Great Expectation and Evidently AI
- Stay current with emerging trends in machine learning, artificial intelligence, and big data technologies to drive innovation within the team
Required Skills:
- Expertise in hypothesis testing, T-Test, and Z-Test
- Advanced proficiency in regression techniques (linear and logistic)
- Strong programming skills in Python and PySpark
- Experience with SAS or SPSS for statistical analysis and computing
- Hands-on knowledge of probabilistic graph models
- Proficiency with machine learning frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, or MXNet
- Forecasting techniques, including exponential smoothing, ARIMA, and ARIMAX
- Experience with model deployment tools such as KubeFlow and BentoML
- Strong understanding of classification algorithms (decision trees, SVM)
- Proficiency in R and R Studio
Preferred Skills:
- Experience with Great Expectation and Evidently AI for model validation and monitoring
- Knowledge of advanced distance metrics (Hamming, Euclidean, Manhattan)
- Expertise in scalable data engineering for machine learning pipelines
- Hands-on experience with cloud-based machine learning platforms
- Familiarity with MLOps best practices and CI/CD for data science
Desired Qualifications:
- Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field
- Relevant certifications in machine learning, data science, or analytics (e.g., TensorFlow, SAS, or equivalent)
Salary: 140-150 USD per year salary
Senior Data Science Lead - R01566414
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Primary Skills
- Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
Specialization
- Data Science Advanced: Data Specialist
Job Requirements
- Experience Range: 12+ years of experience in data science, including hands-on expertise in advanced statistical modeling and machine learning
- Location: Deerfield Beach, FL
- Work Type: Hybrid min 3 days onsite per week
Key Responsibilities:
- Lead the design and implementation of complex data science solutions to drive business impact and inform strategic decision-making
- Develop, validate, and optimize advanced statistical and machine learning models, including regression, classification, and forecasting algorithms
- Collaborate with cross-functional teams to translate business objectives into actionable analytics projects and deliver measurable outcomes
- Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning
- Leverage Python, R, and relevant frameworks to build scalable data pipelines and automate model deployment using tools such as KubeFlow and BentoML
- Conduct rigorous statistical analysis, including hypothesis testing, T-Test, Z-Test, and probabilistic graph modeling to uncover actionable insights
- Implement and monitor model validation, explainability, and performance tracking using tools like Great Expectation and Evidently AI
- Stay current with emerging trends in machine learning, artificial intelligence, and big data technologies to drive innovation within the team
Required Skills:
- Expertise in hypothesis testing, T-Test, and Z-Test
- Advanced proficiency in regression techniques (linear and logistic)
- Strong programming skills in Python and PySpark
- Experience with SAS or SPSS for statistical analysis and computing
- Hands-on knowledge of probabilistic graph models
- Proficiency with machine learning frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, or MXNet
- Forecasting techniques, including exponential smoothing, ARIMA, and ARIMAX
- Experience with model deployment tools such as KubeFlow and BentoML
- Strong understanding of classification algorithms (decision trees, SVM)
- Proficiency in R and R Studio
Preferred Skills:
- Experience with Great Expectation and Evidently AI for model validation and monitoring
- Knowledge of advanced distance metrics (Hamming, Euclidean, Manhattan)
- Expertise in scalable data engineering for machine learning pipelines
- Hands-on experience with cloud-based machine learning platforms
- Familiarity with MLOps best practices and CI/CD for data science
Desired Qualifications:
- Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field
- Relevant certifications in machine learning, data science, or analytics (e.g., TensorFlow, SAS, or equivalent)
Salary: 140-150 USD per year salary
See All 1,177+ Data Science Lead Jobs
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Find Data Science Lead JobsData Science Lead Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Capital One84
- Humana51
- Citi30
- Apple26
- Tata Consultancy Services (TCS)22
Top Industries Hiring
- Technology & Software355
- Banking & Financial Services142
- Consulting & Professional Services116
- Biotechnology & Pharmaceuticals57
- Insurance57
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 Capital One, Humana, and Citi, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of June 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 36% of data science lead openings are fully remote or hybrid as of June 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 1,177+ Data Science Lead Jobs
Jump back to the full list of openings and apply to any data science lead role that fits.
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