Top Senior Data Science Jobs in Boston, MA

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

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.

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

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.

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

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.

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

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.

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 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 at Coinbase will analyze ambiguous problems, own core metrics, and drive data science projects, impacting business decisions.

As a Senior Product Data Scientist, you'll analyze customer behavior, optimize user retention and marketplace efficiency, and drive product strategy through data insights and SQL querying.

The role involves designing and analyzing experiments for Open Connect, building experimental tooling, delivering insights, and collaborating with cross-functional teams.

Seeking a Data Scientist II to develop AI systems for biomedical applications. Responsibilities include building data pipelines, optimizing AI algorithms, and collaborating with researchers to enhance biomedical research efforts.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.

As a Data Scientist Tech Lead, you will guide a team in developing and deploying machine learning and generative AI systems, mentor other data scientists, and collaborate with various stakeholders to drive analytics solutions.

The Data Scientist will design data solutions, analyze datasets, and collaborate with engineers using GCP and various tools to enhance data-driven decision-making.

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 Principal Data Scientist will analyze data for insights, build predictive models, and develop dashboards to support contract strategies within a team.

The Data Scientist will utilize causal inference methods to evaluate marketing initiatives, conduct data analysis, and collaborate with teams to inform marketing strategies.