Top Data Science Jobs in Boston, MA

The Data Scientist III will develop machine learning infrastructures, optimize algorithms, communicate insights, and manage the data science lifecycle.

The Senior Data Scientist will analyze complex economic data, manage research projects, collaborate with cross-functional teams, and implement data-driven strategies to support economic policy and business outcomes.

MORSE Corp seeks a Data Scientist experienced in data analysis, algorithm development, and machine learning for national security solutions. Responsibilities include evaluating algorithms, transitioning them into software applications, and presenting findings to stakeholders.

The Data Scientist will research and prototype machine learning algorithms, collaborate with engineers for scalable models, process large datasets, and contribute to ad tech solutions.

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

The Data Scientist II will lead RWE studies, derive insights from real-world clinical data, and contribute to methodologies using advanced statistical techniques and AI tools, collaborating closely with pharmaceutical partners.

As a Data Scientist, you will design and operationalize advanced analytics, develop scalable models, and collaborate with teams to enhance product capabilities in healthcare.

The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.

The Senior Data Scientist will implement and test ML models for international products, collaborating with cross-functional teams to drive insights and deploy solutions.

The Senior Principal Data Scientist develops scalable tools for statistical computing in healthcare, providing leadership for data science capabilities, driving automation, and ensuring compliance in complex projects while guiding technical strategy and cross-functional initiatives.

The Associate Data Scientist will develop fraud detection models, perform data analysis, collaborate on AI initiatives, and communicate insights effectively to stakeholders.

The Data Scientist builds analytical models and data architectures, delivering business value through data, collaborating with teams to develop actionable insights and solutions.

The entry-level Data Scientist will analyze and interpret data, conduct web scraping, and build models to support decision-making at FINTRX.

Lead Data Scientist responsible for guiding teams in data analysis, algorithm development, and AI application to address national security challenges. Engage stakeholders and oversee algorithm testing and evaluation.

The Data Scientist will focus on applied research, fine-tuning LLMs, building evaluation frameworks, and collaborating with engineering teams for scalable AI solutions.

As a Data Scientist, you will advance applied ML capabilities for healthcare, develop LLM-based chart abstraction techniques, and enhance data science best practices.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

Lead data science projects to optimize drug development, develop AI models for clinical trials, and collaborate with teams on biomedical workflows.

As a Senior Data Scientist, you will develop technologies for signals exploitation, perform data analysis, and implement algorithms while collaborating with project teams.

As a Data Scientist, you will solve complex data problems using AI and machine learning, develop prototypes, and contribute to product strategy.

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

The Data Scientist will develop scalable machine learning pipelines, enhance data analysis processes, and present findings using advanced mathematics in a sports-related context.

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 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.