Top Data Science Jobs in Boston, MA

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.

Manage data science teams to deliver AI/ML solutions for financial crime detection, improve client operations, and uphold quality standards.

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

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.

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.

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

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 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 develop and deploy machine learning models on cloud platforms, optimize sales and marketing via AI solutions, and collaborate with cross-functional teams to drive business value.

The Data Scientist will develop AI and GenAI solutions, collaborate with business teams, monitor model performance, and generate insights from data analysis.

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 Sr Principal Data Scientist will design and maintain data pipelines, collaborate with R&D, and apply AI/ML in drug discovery to enhance Biologics.

The role involves leading a Biomarker Data Science team to develop innovative statistical methods, execute analyses on clinical data, and collaborate across teams to advance drug development.

The role involves providing computational and bioinformatics support for RNA therapeutics, developing data analysis pipelines, and collaborating with experimental scientists.

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

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

The Data Scientist will develop and validate clinical decision support solutions using machine learning and LLM techniques to analyze clinical data. Responsibilities include optimizing cloud infrastructures and implementing ML models to aid clinician decision-making.

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.

The Data Scientist will develop machine learning models using cancer data to advance oncology understanding and improve patient outcomes, collaborating with multiple teams and publishing results.

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.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

The Data Scientist role involves transforming alternative data into insights, building and validating predictive models, and creating technical white papers, leveraging AI-native tools.