Top Data Science Jobs in Boston, MA

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.

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.

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.

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 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 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 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.

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

As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.

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.

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 Data Scientist will develop AI solutions, assist in data analysis, model development, and collaborate across teams to enhance data-driven decision making.

The Data Scientist will support AI governance by developing data-driven solutions, applying machine learning techniques, collaborating across teams, and monitoring AI risks. Responsibilities include data exploration, model development, and stakeholder communication, ensuring efficient AI solution delivery.

The Principal Bioinformatics Data Scientist will develop advanced computational methods and ML models for genomic analysis and lead innovation in bioinformatics, driving integration of large-scale genomic data.