Top Data Science Jobs in Boston, MA

As a Data Scientist at Deepgram, you'll tackle complex audio data challenges, develop scalable data pipelines, and collaborate with teams to advance voice AI technologies.

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

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

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.

As a Data Science Intern, you will analyze data, communicate insights to stakeholders, and collaborate with ML scientists to enhance products and models.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

The Principal Data Scientist will develop machine learning models, engineering solutions, and collaborate with scientists to enhance therapeutic discovery and innovation.

The role involves designing and optimizing data pipelines for TDS, ensuring data quality and compliance, and collaborating across teams for data-driven decision making.

The Principal Data Scientist will leverage machine learning and data engineering to enhance safety evaluations and translational research in pharmaceuticals, collaborating with experts to create predictive models and AI-ready datasets.

The Senior Data Scientist will manage data science projects, analyze complex economic data, design statistical models, and collaborate with cross-functional teams to support policy recommendations and business strategies.

The Data Scientist will enhance actuarial processes through statistical models and machine learning, collaborating with cross-functional teams and communicating results effectively.

The AI and Trading Analytics Researcher will develop quantitative models and trading analytics, collaborating with researchers and traders to derive insights from financial data and enhance trading strategies.