Top Data & Analytics Jobs in Boston, MA

The Growth Operations Analyst will drive efficiency in SMB businesses through data analysis, funnel management, optimization, and cross-functional collaboration.

Lead and develop the biostatistics team, drive statistical strategies, innovate trial designs, and collaborate cross-functionally to optimize drug development processes.

The Senior Analyst will support the development of a new Media platform, collaborating on analytics, dashboards, client reporting, and strategic measurements.

The Data Scientist will analyze and develop algorithms for AI and machine learning applications. Responsibilities include testing, evaluation, and transitioning algorithms to software, requiring strong data analysis and programming skills.

As a Staff Data Engineer, you will build and manage data lakes, optimize data pipelines, collaborate on data products, and leverage AI for analytics.

Lead and build the Data team at Topline Pro, driving a data-driven strategy that scales operations and enhances decision-making across teams.

The Research Scientist will develop new Latent Space Models for voice AI to address data, scale, and cost challenges, focusing on neural codecs and generative modeling for diverse human speech synthesis and understanding.

As a Senior Data Scientist at Coinbase, you will collaborate with cross-functional teams to drive product initiatives, enhance data models, and optimize financial operations using advanced data processing techniques. You will develop data pipelines, create dashboards, and provide data-driven insights to improve cash flow processes while utilizing your extensive knowledge of finance and data architecture.

Lead the development of predictive models for credit risk and lending strategies. Collaborate with cross-functional teams and mentor junior data scientists.

The Staff Data Analyst will support Operations leaders with analytics projects focusing on enterprise applications, optimizing systems, and providing data-driven insights.

Join a fast-growing startup as a Data Scientist, building a central data team, designing metrics, and applying data analysis to support client experiences.