Data Scientist Visa Sponsorship Jobs in Connecticut
Connecticut's data scientist job market centers on Stamford's financial services corridor, Hartford's insurance giants like Aetna and The Hartford, and the UConn and Yale university ecosystems that feed consistent talent pipelines. Employers in biotech, fintech, and defense contracting across New Haven and Bridgeport actively hire internationally and have established visa sponsorship programs for qualified data scientists.
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Get Access To All JobsAbout the role: Join our fast-growing Global Product Management Data Science team and help transform Gartner’s Client Experience Digital Platform—the essential destination for IT and business leaders worldwide. As a data scientist, you’ll leverage advanced analytics and machine learning to create intelligent, scalable solutions that deliver real value and enhance every step of our clients’ journey. In this role, you will lead complex data science projects in partnership with cross-functional teams, driving the development of advanced AI-powered chatbot systems that deliver intelligent, personalized experiences at scale. You’ll architect and implement cutting-edge conversational AI tools—including intelligent search, recommendation engines, and context-aware content systems—while ensuring seamless integration with enterprise platforms.
What You Will Do
- Lead data science projects in close collaboration with Data Engineering, Application development, Product owners and business leaders to deliver high-value business capabilities
- Architect and build sophisticated AI-powered chatbot systems that provide intelligent, personalized client experiences at scale
- Design and implement advanced tools that power conversational AI capabilities, including intelligent search, recommendation engines, and context-aware content retrieval systems
- Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools
- Build user profiling and personalization models to deliver tailored chatbot experiences
- Be accountable for high-quality data science solutions with respect to accuracy, coverage, scalability, stability, and business adoption
- Take ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code-reusability
- Leverage internal and external data to understand client's company-level priorities and deliver targeted support
- Collaborate with senior leadership on long-term vision, strategy, and solution roadmaps aligned with business objectives
- Pitch ideas, present solutions, and influence senior leaders and executive stakeholders with strong business value propositions
- Stay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI, and agentic systems
- Collaborate with engineering and product teams to launch MVPs and iterate quickly
- Independently plan and drive complex data science projects that deliver measurable business value
- Mentor junior data scientists on chatbot development, LLM applications, and best practices
What You Will Need
- 6-8 years hands-on experience building conversational AI systems, chatbots, LLM applications, or other advanced machine learning/artificial intelligence solutions to drive business impact
- Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required
- Strong communication skills in technical and business domains with demonstrated ability to translate quantitative analysis into actionable business strategies and influence executive leadership
- Working experience in some of the following data science areas:
- Large Language Models (LLMs) and Generative AI
- Conversational AI, chatbot development, and dialogue systems
- Natural Language Processing and text mining
- Search and Recommendation systems
- Prompt engineering, LLM fine-tuning, and model optimization
- AI agent architectures and orchestration
- Strong familiarity with Model Context Protocol (MCP) and building tools for AI agents
- Deep understanding of Lean product principles, software development lifecycle, and machine learning life cycle
- Practical, intuitive problem solver with proven ability to translate business objectives into actionable data science tasks and implement state-of-the-art ML research into production systems
- Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain, LlamaIndex), SQL/relational databases (e.g., Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases (e.g., Pinecone, Weaviate), distributed machine learning (spark), Linux and shell scripting
- Experience with cloud computing services such as AWS or Azure ML
- Strong ability to work collaboratively across product, data science and technical stakeholders with experience mentoring data scientists
- Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone
- Bias for action and client outcome oriented
What You Will Get
- Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
- Collaborative, team-oriented culture that embraces diversity
- Professional development and unlimited growth opportunities
Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.
What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.
What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 113,000 USD - 147,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com.
Job Requisition ID:106861
By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy
For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.
About the role: Join our fast-growing Global Product Management Data Science team and help transform Gartner’s Client Experience Digital Platform—the essential destination for IT and business leaders worldwide. As a data scientist, you’ll leverage advanced analytics and machine learning to create intelligent, scalable solutions that deliver real value and enhance every step of our clients’ journey. In this role, you will lead complex data science projects in partnership with cross-functional teams, driving the development of advanced AI-powered chatbot systems that deliver intelligent, personalized experiences at scale. You’ll architect and implement cutting-edge conversational AI tools—including intelligent search, recommendation engines, and context-aware content systems—while ensuring seamless integration with enterprise platforms.
What You Will Do
- Lead data science projects in close collaboration with Data Engineering, Application development, Product owners and business leaders to deliver high-value business capabilities
- Architect and build sophisticated AI-powered chatbot systems that provide intelligent, personalized client experiences at scale
- Design and implement advanced tools that power conversational AI capabilities, including intelligent search, recommendation engines, and context-aware content retrieval systems
- Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools
- Build user profiling and personalization models to deliver tailored chatbot experiences
- Be accountable for high-quality data science solutions with respect to accuracy, coverage, scalability, stability, and business adoption
- Take ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code-reusability
- Leverage internal and external data to understand client's company-level priorities and deliver targeted support
- Collaborate with senior leadership on long-term vision, strategy, and solution roadmaps aligned with business objectives
- Pitch ideas, present solutions, and influence senior leaders and executive stakeholders with strong business value propositions
- Stay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI, and agentic systems
- Collaborate with engineering and product teams to launch MVPs and iterate quickly
- Independently plan and drive complex data science projects that deliver measurable business value
- Mentor junior data scientists on chatbot development, LLM applications, and best practices
What You Will Need
- 6-8 years hands-on experience building conversational AI systems, chatbots, LLM applications, or other advanced machine learning/artificial intelligence solutions to drive business impact
- Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required
- Strong communication skills in technical and business domains with demonstrated ability to translate quantitative analysis into actionable business strategies and influence executive leadership
- Working experience in some of the following data science areas:
- Large Language Models (LLMs) and Generative AI
- Conversational AI, chatbot development, and dialogue systems
- Natural Language Processing and text mining
- Search and Recommendation systems
- Prompt engineering, LLM fine-tuning, and model optimization
- AI agent architectures and orchestration
- Strong familiarity with Model Context Protocol (MCP) and building tools for AI agents
- Deep understanding of Lean product principles, software development lifecycle, and machine learning life cycle
- Practical, intuitive problem solver with proven ability to translate business objectives into actionable data science tasks and implement state-of-the-art ML research into production systems
- Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain, LlamaIndex), SQL/relational databases (e.g., Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases (e.g., Pinecone, Weaviate), distributed machine learning (spark), Linux and shell scripting
- Experience with cloud computing services such as AWS or Azure ML
- Strong ability to work collaboratively across product, data science and technical stakeholders with experience mentoring data scientists
- Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone
- Bias for action and client outcome oriented
What You Will Get
- Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
- Collaborative, team-oriented culture that embraces diversity
- Professional development and unlimited growth opportunities
Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.
What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.
What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 113,000 USD - 147,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com.
Job Requisition ID:106861
By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy
For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.
Data Scientist Job Roles in Connecticut
See all 32+ Data Scientist Jobs in Connecticut
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Search Data Scientist Jobs in ConnecticutData Scientist Jobs in Connecticut: Frequently Asked Questions
Which companies sponsor visas for data scientists in Connecticut?
Hartford-based insurers including Aetna, The Hartford, and Cigna are among the most consistent H-1B visa sponsors for data scientists in Connecticut. Stamford's financial services firms, such as UBS and Charter Communications, also file regularly. Yale New Haven Health and biopharmaceutical companies in the New Haven area round out the sponsoring employer pool, particularly for data scientists with healthcare or clinical analytics backgrounds.
Which visa types are most common for data scientist roles in Connecticut?
The H-1B is the primary visa category for data scientists in Connecticut, given that the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as statistics, computer science, or mathematics. Some candidates transition from F-1 OPT or STEM OPT, which can provide up to three years of work authorization while an employer pursues H-1B sponsorship through the annual lottery.
Which cities in Connecticut have the most data scientist sponsorship jobs?
Hartford and Stamford generate the largest share of data scientist sponsorship roles in Connecticut. Hartford's concentration of insurance and financial analytics firms drives consistent demand, while Stamford's corporate headquarters cluster attracts candidates with fintech and media data experience. New Haven is a secondary hub, supported by Yale University, Yale New Haven Health, and a growing biotech corridor that increasingly requires data science expertise.
How to find data scientist visa sponsorship jobs in Connecticut?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search data scientist roles in Connecticut without manually screening each employer. The platform surfaces positions from companies with documented sponsorship histories in the state, including Hartford's insurance sector and Stamford's financial firms. Filtering by location and role on Migrate Mate is a practical starting point for international candidates at any stage of their job search.
What should data scientists know about Connecticut's hiring market before applying?
Connecticut employers sponsoring H-1B visas must pay the prevailing wage for the specific role and location as determined by the Department of Labor, so job titles and degree field alignment matter when employers file Labor Condition Applications. Candidates with graduate degrees from UConn or Yale often have existing relationships with in-state employers, which can simplify the sponsorship conversation. Defense contractors in the state may also require candidates to be eligible for security clearances, which limits sponsorship options for certain roles.
What is the prevailing wage for sponsored data scientist jobs in Connecticut?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.