Top Data Science Jobs in Boston, MA

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.

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

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

The Data Scientist will develop analytical models and tools to drive business insights, collaborating closely with various teams to enhance data usage and improve decision-making.

The Senior Principal Data Scientist develops scalable tools for statistical computing in healthcare, providing leadership for data science capabilities, driving automation, and ensuring compliance in complex projects while guiding technical strategy and cross-functional initiatives.

As a Data Scientist at FocusKPI, you will develop predictive models, enhance measurement solutions, and provide statistical support for marketing analytics, while communicating results effectively to stakeholders.

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 Data Scientist will analyze high-throughput sequencing data, collaborate with wet-lab scientists, and develop predictive models for vaccine design at Apriori Bio.

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

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

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.

This role offers a paid apprenticeship in data science, requiring participation in a bootcamp while working on industry projects. Apprentices assist with data-driven workflows, learning under mentorship.

The Marketing Data Scientist will leverage predictive analytics to enhance decision-making, build models for growth strategies, and communicate insights effectively to stakeholders.