Top Data Science Jobs in Boston, MA

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

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.

As a Senior Data Scientist, you will develop technologies for signals exploitation and analytics, contribute to data analysis, and collaborate on projects.

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.

Lead a team in developing computational methods for biomarker data analysis, collaborate with scientists, and execute statistical strategies for drug development.

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 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.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

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 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.

As a Staff Data Scientist at 15Five, you'll develop and integrate AI/ML models into performance management systems, conducting data analysis and statistical modeling to enhance business insights and outcomes.

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

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

As an Applied Data Scientist, you'll develop features that optimize customer interactions, collaborating with various teams to create effective models and evaluate performance.

The Data Scientist II develops and optimizes machine learning models, analyzes data to inform business decisions, and collaborates with cross-functional teams while maintaining data integrity.

The Data Scientist will develop predictive models, analyze large datasets, and enhance mission-driven analytics for a DoD customer, using Agile methodologies and integrating data from multiple sources.

Manage data science initiatives, develop complex analytical solutions, oversee campaign execution, and collaborate with business leaders to provide insights and strategies.