Top Data Science Jobs in Hartford, CT

Lead design and delivery of AI/GenAI solutions: build and deploy scalable ML models, manage data pipelines and infrastructure, mentor teams, ensure data quality and compliance, and collaborate with stakeholders to drive AI-driven business outcomes.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

The Data Scientist 1 role involves cleaning and analyzing complex datasets, developing statistical models, and communicating insights through data visualizations. Responsibilities include collaborating with teams, maintaining data quality, and keeping up with advancements in the field.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

Lead end-to-end data science projects, develop machine learning models, collaborate with stakeholders, mentor team members, and communicate insights effectively.

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

The Applied AI Data Scientist will create and optimize ML and GenAI models, design pipelines, run experimental evaluations, and integrate solutions across cloud platforms while collaborating with teams to drive business impact.

The Principal Data Scientist will lead data analysis projects, collaborate with product management, assess business impacts, ensure data governance, and mentor junior analysts. Must leverage statistical techniques and machine learning to drive product strategy and business outcomes.

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.

As a Data Analyst at Circle, you'll analyze payments data, create visualizations, develop dashboards, and support decision-making with insights. You'll partner with business teams to identify opportunities for enhancement and communicate findings effectively to stakeholders.

Senior individual contributor leading pricing model development for P&C/pet insurance. Own end-to-end projects (2-4 concurrently), build and maintain GLM-based pricing models, apply ML techniques, perform EDA and root-cause analysis with SQL, and present insights to technical and non-technical stakeholders. Mentor junior staff and collaborate with actuarial, product, engineering, and business teams.

As a Staff Data Scientist, you will lead initiatives to build and optimize machine learning models, collaborate across departments, and solve complex business problems using data.

The Data Scientist role involves designing and deploying machine learning systems, prototyping AI agents, collaborating with product teams, and addressing business problems. Responsibilities include model building, data analysis, client collaboration, and contributing to AI tooling.

The Junior Data Scientist will develop and evaluate statistical and AI-driven models to analyze CRE market behavior, pricing dynamics, and investment conditions while collaborating with stakeholders to provide actionable insights.

Lead and manage data science teams to build models and drive business solutions; oversee compliance analytics and ensure data quality.

The Senior ML Data Scientist will develop machine learning models to detect fraud, manage the data science lifecycle, and collaborate with teams on strategies.

Analyze ACH transaction data to enhance payment decisioning performance. Identify trends, evaluate data impact, and optimize risk strategies using Python and SQL in a fintech environment.

Senior individual contributor owning complex end-to-end ML problems for supply chain and consumer applications. Build and deploy predictive models (demand forecasting, delivery ETA, recommendations), embed with engineering teams, define MLOps standards, and advise leadership on data science strategy and investments.

Build and own measurement systems, MMM, incrementality, and experimentation frameworks to quantify marketing incrementality, optimize budget allocation, forecast LTV/CAC, and operationalize production-grade models and metrics to drive growth, retention, and long-term enterprise value.

The role involves leveraging advanced analytics and machine learning to assess and mitigate credit and fraud risks, developing scalable modeling solutions while collaborating with stakeholders.

The role involves designing, building, and deploying machine learning models, collaborating with teams to address business problems, and mentoring other data scientists.

Lead design and ownership of advanced fraud detection models and monitoring. Apply adversarial threat modeling to select architectures (tree-based, deep, graph), debug production failures, run experiments, mentor engineers, and build AI-assisted workflows that scale domain expertise while resisting manipulation.

The role involves building predictive cohort models, analyzing data to drive business insight, collaborating with teams, and mentoring junior analysts.