Top Data Science Jobs in Boston, MA

The Data Scientist will collaborate with customers on analytics and ML implementations, improve product capabilities, and ensure customer success through technical expertise.

The role involves collaborating with customer analytics teams, improving product capabilities, refining algorithms, and ensuring long-term customer success through data science expertise.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

The HR Data Scientist will apply machine learning and analytics to optimize workforce strategies, develop predictive models, and extract insights from HR data.

As a Senior Data Scientist at Gradient AI, you'll design predictive models for insurance underwriting, analyze large datasets, and collaborate with cross-functional teams.

The Data Scientist will design and deploy predictive models, analyze large datasets, collaborate with teams for data insights, and automate analytics processes to support commercial growth.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

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 Data Scientist will analyze user behavior data, design experiments, create dashboards, and provide insights to drive business growth and optimize products.

The Senior Product Data Scientist will leverage data to optimize the customer experience, evaluate new features, and provide product recommendations through analytics and experimentation.

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.

Lead observational studies, derive insights from clinical data using advanced statistical methods, and mentor junior scientists while collaborating with pharma partners.

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 role involves applying machine learning techniques to enhance business processes and customer experiences at Guardian.

The role involves analyzing products, designing experiments, and developing key metrics to inform product decisions and improvements. It requires collaboration with various teams.

As a Data Scientist, you will apply advanced machine learning models to analyze data and extract insights, supporting critical business strategies and growth initiatives.

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

As a Senior Data Scientist, you will evaluate and validate AI models, perform statistical analyses, and communicate findings to stakeholders while collaborating cross-functionally.

Principal Data Scientist role focuses on developing predictive models for underwriting in healthcare using advanced machine learning techniques and large datasets. Collaborate across teams to drive data-driven solutions and stay updated on industry trends.

As a Staff Data Scientist in AI Products, you will drive AI/ML capabilities, influence product strategy, and collaborate with various teams to enhance data foundations.

The Senior Data Scientist will influence product roadmaps, drive AI/ML capabilities, and perform deep-dive analysis to shape data-informed strategies.

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.

As a Data Scientist II at Root, you will refine pricing models, ensure regulatory compliance, collaborate across departments, and apply technical expertise in data analysis and modeling.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

The Data Scientist will analyze complex data sets, develop predictive models, collaborate with stakeholders, and create visualizations to inform business decisions.