Data Science Lead Jobs in Florida
Data Science Lead jobs in Florida are open across Tampa, Jacksonville, and Fort Lauderdale and other Florida metros, with employers like Citi, Humana, and Deloitte hiring at every experience level. Find a role that fits below and apply directly.
Find Data Science Lead JobsOverview
Showing 5 of 35+ 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 35 Data Science Lead Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
Find Data Science Lead JobsData Science Lead Jobs by City in Florida
Where Florida roles are concentrated, by current openings.
Data Science Lead Job Market in Florida
A snapshot from current Florida openings, updated as new roles post.
Who's Hiring
- Citi8
- Humana6
- Deloitte2
- Independent Living Systems2
- Brillio1
Top Industries Hiring
- Technology & Software10
- Construction & Real Estate6
- Banking & Financial Services5
- Investment & Asset Management5
- Insurance4
What Florida Employers Look For
The qualifications that appear most often in data science lead jobs across Florida.
- 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
Data Science Lead Jobs in Florida: Frequently Asked Questions
How many data science lead jobs are there in Florida?
There are 35+ data science lead openings in Florida on Migrate Mate as of June 2026, with the most roles in Tampa, Jacksonville, and Fort Lauderdale. New positions post regularly as employers across Florida hire.
How much do data science leads make in Florida?
Data science leads in Florida earn a median of about $115,820 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $63,080 for the lowest 10% to over $174,140 for the top 10%. Pay rises with experience, specialty, and employer.
Which Florida cities have the most data science lead jobs?
Tampa, Jacksonville, and Fort Lauderdale have the most data science lead openings in Florida right now, with additional roles spread across smaller metros statewide.
Which companies hire data science leads in Florida?
Employers hiring data science leads in Florida include Citi, Humana, and Deloitte, based on current listings on Migrate Mate as of June 2026.
Are there remote data science lead jobs in Florida?
Yes. About 43% of data science lead openings tied to Florida are remote or hybrid as of June 2026. The rest are on-site roles based in Florida metros.
How do I apply for data science lead jobs in Florida?
You can apply to data science lead jobs in Florida directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Florida location, then apply to each one that fits.
See All 35 Data Science Lead Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
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