Data Science Lead Jobs in Connecticut
Data Science Lead jobs in Connecticut are concentrated in Hartford, Stamford, and New Haven, where the finance, insurance, and biopharma sectors generate steady demand for senior analytics talent. Employers with lasting hiring presence include Cigna, Travelers, and Yale New Haven Health, all of which regularly staff data science leads to drive modeling, ML operations, and business intelligence programs. The market rewards depth in machine learning engineering, predictive analytics, and data platform architecture. See the openings below and apply to the ones that match your experience.
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See related jobsLogistics at full potential.
At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you’ll have the support to excel at work and the resources to build a career you can be proud of.
- Builds the warehouse AI strategy, including Generative AI Language Model and business use cases.
• Collates GXO’s existing use cases of AI for warehouse automation.
• Partners with the regions to explore current usage and capabilities.
• Documents GXO AI library for internal and external stakeholders.
• Builds a global AI framework for warehouse automation.
• Maintains up-to-date records of AI in warehouse automation.
• Develops awareness of current AI service delivery models.
• Identifies future AI use case opportunities for warehouse automation.
• Partners with key leaders to explore viability of AI use cases.
• Builds business cases to propose solutions to increase warehouse automation via AI usage.
• Partners with the Automation Strategy team to define AI development, including translation of AI to P&L.
• Builds business cases around AI in Automation, conducting financial modeling scenarios.
• Partners with regional deployment managers to deploy warehouse AI solutions.
• Provides ad-hoc support as required.
• Partners with IT AI leaders to maximize use cases across the organization.
• Builds governance frameworks around AI usage.
• Develops capabilities across different teams on AI in warehouse automation.
- Bachelor’s degree or equivalent related work or military experience
• Operational excellence training or background
• Extensive strategic leadership experience in warehouse automation
- 10+ years of AI experience within Operations
• Excellent verbal/written communication, presentation and listening skills
• Passion for innovation
• Strong problem-solving skills
GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work.
We are proud to be an Equal Opportunity employer including Disabled/Veterans.
GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.
Logistics at full potential.
At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you’ll have the support to excel at work and the resources to build a career you can be proud of.
- Builds the warehouse AI strategy, including Generative AI Language Model and business use cases.
• Collates GXO’s existing use cases of AI for warehouse automation.
• Partners with the regions to explore current usage and capabilities.
• Documents GXO AI library for internal and external stakeholders.
• Builds a global AI framework for warehouse automation.
• Maintains up-to-date records of AI in warehouse automation.
• Develops awareness of current AI service delivery models.
• Identifies future AI use case opportunities for warehouse automation.
• Partners with key leaders to explore viability of AI use cases.
• Builds business cases to propose solutions to increase warehouse automation via AI usage.
• Partners with the Automation Strategy team to define AI development, including translation of AI to P&L.
• Builds business cases around AI in Automation, conducting financial modeling scenarios.
• Partners with regional deployment managers to deploy warehouse AI solutions.
• Provides ad-hoc support as required.
• Partners with IT AI leaders to maximize use cases across the organization.
• Builds governance frameworks around AI usage.
• Develops capabilities across different teams on AI in warehouse automation.
- Bachelor’s degree or equivalent related work or military experience
• Operational excellence training or background
• Extensive strategic leadership experience in warehouse automation
- 10+ years of AI experience within Operations
• Excellent verbal/written communication, presentation and listening skills
• Passion for innovation
• Strong problem-solving skills
GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work.
We are proud to be an Equal Opportunity employer including Disabled/Veterans.
GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.
See All 5 Data Science Lead Jobs in Connecticut
Find roles in Connecticut that match your experience and apply in just a few clicks.
Find Data Science Lead JobsData Science Lead Jobs by City in Connecticut
Where Connecticut roles are concentrated, by current openings.
Data Science Lead Job Market in Connecticut
A snapshot from current Connecticut openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Manufacturing
What Connecticut Employers Look For
The qualifications that appear most often in data science lead jobs across Connecticut.
- Bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field
- Five or more years of applied data science experience with at least two years in a lead or staff-level role
- Proficiency in Python or R alongside SQL and experience with cloud platforms such as AWS, Azure, or GCP
- Demonstrated ability to build and deploy production machine learning models at scale
- Experience mentoring junior data scientists and translating business problems into analytical solutions
- Strong communication skills for presenting findings and model outputs to non-technical stakeholders
Data Science Lead Jobs in Connecticut: Frequently Asked Questions
How do you become a data science lead in Connecticut?
Becoming a data science lead in Connecticut does not require a state-issued license, but employers consistently expect a graduate degree in a quantitative discipline alongside a portfolio of deployed models or published analytical work. Most candidates move into lead roles from senior data scientist or machine learning engineer positions at Connecticut's large insurance carriers, financial services firms, or healthcare systems. Certifications from cloud providers or professional data science organizations strengthen applications, particularly for roles in regulated industries like insurance and healthcare.
How much do data science leads make in Connecticut?
Data science leads in Connecticut earn a median of about $126,340 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $75,700 for the lowest 10% to over $204,680 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data science leads in Connecticut?
Companies currently hiring data science leads in Connecticut include Philip Morris International, GXO Logistics, and Pratt & Whitney, per current listings on Migrate Mate as of August 2026. Connecticut's concentration of major insurance carriers and health systems means many of these openings sit within risk modeling, actuarial analytics, and population health intelligence teams.
Which Connecticut cities have the most data science lead jobs?
Stamford, Greenwich, and East Hartford account for the largest share of data science lead openings in Connecticut. Hartford dominates because it is home to the headquarters of major insurance and financial services companies, while Stamford draws from the New York metro corridor's finance and media analytics employers, and New Haven benefits from Yale University and its affiliated health system anchoring demand for research and clinical data science talent.
Are there remote data science lead jobs in Connecticut?
Yes, and more than most fields. About 67% of data science lead openings tied to Connecticut are remote or hybrid as of August 2026, reflecting the desk-based and cloud-driven nature of the work. Fully remote arrangements are most common for roles focused on modeling and pipeline development, while positions requiring close collaboration with product or clinical teams tend to carry a hybrid expectation.
How can I get hired as a data science lead in Connecticut with little or no experience?
The most realistic path is building toward the role through a senior data scientist or machine learning engineer position at a Connecticut employer first. Hartford-based insurance companies and health systems like Cigna and Aetna, which has operations in the state, run graduate rotational and associate analytics programs that place candidates in data science tracks. A strong portfolio of end-to-end projects, contributions to open-source tools, or a published Kaggle competition record can substitute for years of title-matched experience when applying to those entry pipelines.
Where can I find and apply to data science lead jobs in Connecticut?
You can find and apply to data science lead jobs in Connecticut on Migrate Mate, which lists current openings from employers hiring in the state. Search the listings, identify the roles that match your background and seniority level, and apply directly through each posting.
See All 5 Data Science Lead Jobs in Connecticut
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