Top Artificial Intelligence Data Science Jobs in Boston, MA

As a Forward Deploy Data Scientist, you will collaborate with health systems to analyze healthcare data, build machine learning pipelines, deploy ML models, and improve clinical workflows through actionable insights.

The Senior MicroStrategy Developer will build dashboards, provide technical guidance, align project requirements, and oversee capacity planning while optimizing performance.

Lead design and deployment of graph ML and network-biology analyses to generate drug target hypotheses from RWD and multi-omic data. Prototype methods, integrate solutions with engineers, prioritize tasks, and communicate results to cross-functional stakeholders while championing data science best practices.

As a Data Scientist/Engineer, you will build and productionize data pipelines, design LLM-based solutions, and integrate Agentic AI technologies. Your role involves evaluating decision-making frameworks, ensuring responsible AI practices, and engaging with clients for feedback on prototypes and roadmaps.

Lead performance analytics for robotic and non-robotic warehouse automation. Build data models, KPIs, dashboards, and scalable monitoring frameworks. Partner with engineering and operations to uncover root causes, apply advanced analytics/ML, define telemetry, and drive cross-site operational improvements.

The Data Scientist II role involves developing scalable analysis frameworks, building monitoring systems, enhancing data pipelines, and facilitating model improvements for customer success while collaborating across teams.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

The Senior Data Engineer will own the data strategy, managing sourcing, structuring, and optimizing multimodal data to enhance AI models and products.

The role involves analyzing biobank datasets using statistical and computational methods, developing machine learning pipelines, and collaborating with scientific teams to advance research in human genomics.