Top Remote Senior Level Data Science Jobs in Boston, MA

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

The Senior Data Scientist will enhance the Marketing Mix Modeling platform, develop AI tools, automate modeling processes, and provide actionable insights from complex data.

Develop measurement frameworks for content quality and value, using statistical methods to inform strategic content decisions and enhance organizational insights.

As a Senior Data Scientist, you'll build machine learning models for infrastructure cost prediction, enhance experimentation methods, and collaborate across teams to improve data quality and impact evaluation.

The Senior Manager of Credit Risk Analytics oversees credit strategies and risk management for Personal Loan portfolios, ensuring compliance, optimizing performance using ML, and collaborating cross-functionally to enhance business growth and minimize credit losses.

The Data Scientist will lead customer investigations, improve fraud detection, influence product direction, and mentor other analysts.

Lead the design and development of enablement content for data warehousing and analytics engineering. Collaborate with teams for high-impact technical training material.

As a Senior Data Scientist, you'll analyze large datasets, develop predictive models using machine learning, and create dashboards to enhance client decision-making. You'll collaborate with stakeholders to build analytics apps and document workflows for reproducibility.

The Business Intelligence Lead oversees Finance data platform development, managing data pipelines in Snowflake and Databricks, optimizing SQL for reporting, and ensuring data quality and governance.

The Senior Data Scientist will design experiments, analyze data, and drive growth strategy for the Clubhouse app, proactively identifying key questions and opportunities for improvement.

The Lead Data Scientist will architect AI solutions for the energy sector, develop ML algorithms, and collaborate with leadership to shape product strategy.