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 role involves leveraging data analytics and AI techniques to support client needs, developing models, managing data teams, and building AI solutions. Key responsibilities include data processing, client collaboration, and presenting insights.

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 role involves leading predictive analytics efforts in risk and quality use cases, mentoring team members, applying analytics for decision-making, and fostering innovation.

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, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

The Senior Data Scientist will develop advanced analytics to enhance product value, mentor junior members, and lead initiatives in healthcare commercialization.

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.

As a Data Scientist, you will design and deliver complex predictive models, communicate insights, and mentor less experienced talent while solving key business challenges using advanced statistical techniques and machine learning.

The Data Scientist will enhance actuarial processes through statistical models and machine learning, collaborating with cross-functional teams and communicating results effectively.

The Data Scientist Manager will oversee analytical solutions involving predictive modeling and data management, ensuring effective collaboration, campaign execution, and adherence to data governance standards while driving business insights.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

The Senior Data Scientist will leverage advanced analytical techniques to measure marketing effectiveness and drive business growth through insights from user behavior data.

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.

As a Senior Data Scientist, you will develop technologies for signals exploitation and system resource management, conduct data analysis, and collaborate on multi-disciplinary teams.

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 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 Data Scientist will develop software to analyze the exposome and genome impact on health, translating data into clinical applications while collaborating across Harvard.

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.

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

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