Top Data Science Jobs in Boston, MA

The entry-level Data Scientist will analyze and interpret data, conduct web scraping, and build models to support decision-making at FINTRX.

The Data Scientist will build predictive models, drive forecasting, design experiments, and translate findings for stakeholders, optimizing healthcare operations.

The Staff Data Scientist will advance machine learning models to optimize claim audits and improve business outcomes in healthcare.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

As a Data Scientist at Sleeper, you will analyze user behavior, build analytics systems, and develop risk insights to improve user experience and integrity on the platform.

The Senior Data Scientist develops machine learning models, analyzes complex datasets, collaborates with stakeholders, and communicates insights through visualizations and reports.

The Data Scientist will develop and improve models and LLM systems for security applications, focusing on production readiness and experimentation. Responsibilities include building classifiers and evaluating models.

The Data Scientist will lead analytical workstreams, design clinical studies, develop scoring methodologies, build data pipelines, and collaborate with clinical teams to enhance surgical performance metrics.

As a Senior Staff Data Scientist at SmithRx, you'll lead the Data team in delivering data-driven insights, mentoring talent, and driving product and business impacts through experimentation and advanced analytics in a healthcare context.

The Principal Bioinformatics Data Scientist will develop advanced computational methods and ML models for genomic analysis and lead innovation in bioinformatics, driving integration of large-scale genomic data.

As a Staff Data Scientist, you will lead experimentation strategies, apply advanced causal inference techniques, and guide analytical insights to drive product and business decisions.

As a Staff Data Scientist, lead experimentation efforts, apply causal inference techniques, conduct deep analyses, and mentor junior scientists to influence strategic decisions across the organization.

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 role involves deploying data science solutions in cybersecurity, collaborating with customers and teams to operationalize models and enhance security insights.

The Data Scientist will analyze data for risk and trading in Daily Fantasy Sports, develop predictive models, and monitor real-time data.

As a Staff Data Scientist, you will create and integrate AI/ML models into performance management, conducting data analysis, statistical modeling, and collaborating with engineering teams for operationalization.

The role involves developing graph algorithms, data pipelines for identity verification, and supporting data analysis for compliance products.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Data Scientist will develop scalable machine learning pipelines, enhance data analysis processes, and present findings using advanced mathematics in a sports-related context.

The role involves analyzing complex healthcare datasets, applying statistical models, translating insights into business conclusions, and collaborating with teams for research initiatives.

The Data Scientist will focus on applied research, fine-tuning LLMs, building evaluation frameworks, and collaborating with engineering teams for scalable AI solutions.

The Staff Data Scientist will develop and enhance marketing intelligence products, manage data science models, optimize algorithms, and collaborate across teams to translate technical methodologies into business solutions.

As a Data Scientist/Engineer, you will build and productionize data pipelines, design LLM-based solutions, and integrate Agentic AI technologies. Your role involves evaluating decision-making frameworks, ensuring responsible AI practices, and engaging with clients for feedback on prototypes and roadmaps.

Lead design and deployment of graph ML and network-biology analyses to generate drug target hypotheses from RWD and multi-omic data. Prototype methods, integrate solutions with engineers, prioritize tasks, and communicate results to cross-functional stakeholders while championing data science best practices.

As a Data Scientist, you'll lead high-stakes analytical work, creating predictive models and defining frameworks for experimentation and evaluation within a healthcare tech startup.