Top Data Science Jobs in Boston, MA

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 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.

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.

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

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

The Scientist II will carry out complex research projects, executing data analyses and communicating scientific findings for biopharmaceutical clients using the Tempus data platform.

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

As a Data Scientist, you will drive data-driven decisions, conduct analyses, lead A/B experiments, and optimize user acquisition strategies for business growth.

Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.

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.

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

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.

Lead data science initiatives focusing on healthcare fraud, waste, and abuse. Perform detection analysis, assess trends, and present findings to support decision-making.

The Senior Data Scientist will provide data-driven insights, build analytical models, and collaborate with stakeholders to enhance decision-making and operational efficiency.

The Staff Data Scientist will optimize ads delivery, lead experimentation, mentor junior scientists, and communicate findings to stakeholders. They will work with product and engineering leaders to evolve strategy and improve tools for analyzing ads performance.

As a Data Scientist, you will analyze large datasets, translate client goals into analytical solutions, and communicate findings effectively. You'll collaborate with teams to improve analytics processes and ensure data quality.

As a Data Scientist, you will identify opportunities using data to shape product decisions, develop metrics, and influence strategic partnerships across teams.

The Data Scientist will develop and maintain models for ratemaking and underwriting, educate stakeholders, and contribute to decision-making processes in the insurance sector.

Seeking a Data Scientist to build data solutions using deep learning and statistical tools, collaborating with product teams and clients to extract insights from marketing data.

The Data Scientist will analyze large datasets, support data validation, collaborate on feature engineering, and assist in predictive modeling to improve forecasts.

As a Customer Analytics Data Scientist, you will analyze data for fraud prevention, present results, collaborate with various teams, and support customer success efforts.