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 role involves analyzing healthcare data to optimize care delivery, predict patient needs, and support internal teams through insights, dashboards, and A/B testing.

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 Senior Product Data Scientist will leverage data science and analytics to inform product development through experimentation, causal inference, and predictive modeling, while collaborating across teams and effectively communicating insights.

As a Product Data Scientist, you'll analyze product data, conduct A/B testing, and help guide product strategies through insights and metrics tracking.

As a Data Scientist II, you'll analyze products, design experiments, and build metrics to enhance customer experience and product strategy at Coinbase.

The Data Scientist II will perform analyses to answer strategic questions, design experiments, and develop key metrics to support Coinbase's Institutional business.

As a Data Scientist II at Coinbase, you'll analyze products, conduct experiments, and develop metrics to enhance user experiences and drive product improvements.

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

The Data Scientist will analyze customer behavior data, drive business decisions through analytics, and collaborate with cross-functional teams to enhance product and revenue strategies.

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 Staff Data Scientist will lead analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

The Data Scientist will develop and evaluate AI-augmented information retrieval models, build NLP pipelines, and contribute to knowledge graph work while collaborating with Engineering, Product, and Marketing teams.

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.

This role involves solving complex problems in retail analytics, building predictive models, optimizing assortment decisions, and collaborating cross-functionally to enhance customer satisfaction and revenue.

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 collaborate with business partners to design and implement predictive models, analyze data, and communicate insights. You will assist in development, mentor junior team members, and support skill development initiatives.

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.

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 people analytics initiatives by combining HR, productivity, and market data to generate actionable insights on performance, retention, and organizational agility. Design research and assessment methods, build ML/NLP models, visualize results for executives, manage projects, and train HR stakeholders to scale data-driven solutions across the enterprise.

Lead design and implementation of constrained, non-linear marketing investment optimization frameworks. Build scalable decision support tools, partner with Marketing/Finance/Product/Technology, guide solver selection and validation, and drive roadmap for marketing optimization capabilities.