Top Data Science Jobs in Providence, RI

Lead the development of intelligent decision engines modeling customer intent in real-time using advanced data science techniques such as causal inference and machine learning. Collaborate with cross-functional teams to optimize systems for search, fulfillment, and customer experience.

The Senior Data Scientist will develop intelligent decisioning systems focused on optimizing fulfillment operations, using machine learning and operations research techniques. This role involves collaboration across teams and addressing complex logistical challenges through advanced modeling.

The Sr. Cloud Engineer will develop and manage data pipelines, optimize cloud infrastructure, and collaborate with teams to implement new features, focusing on real-time machine learning and secure data storage solutions.

The Principal Data Scientist will lead the Ads Data Science team at Reddit, optimizing advertising strategies through advanced statistical methods and machine learning, while collaborating with multiple teams to influence key business decisions.

The Senior Data Scientist will translate autonomous vehicle data into insights, develop KPIs, and apply machine learning techniques for analysis and strategic decision-making.

As a Senior Data Scientist, you will lead advanced analytics product implementations, collaborate with teams to analyze blockchain data, and develop models to combat financial crime.

Lead the design and implementation of AI-driven search algorithms and models. Collaborate with teams to optimize search performance and personalize user experiences. Mentor junior staff and stay updated on latest AI advancements.

The Senior Data Scientist will develop AI/ML algorithms for space data insights, lead projects, collaborate across teams, and present findings at conferences.

As Lead Data Scientist, you will develop impactful machine learning models, mentor the data team, and ensure data consistency across platforms in a fast-paced startup environment.

The Senior Data Scientist will analyze data to enhance rider retention through experimentation and collaboration across teams. Responsibilities include defining metrics, delivering data-driven solutions, and conducting deep analyses on rider engagement.

The Senior Data Scientist leads data science and machine learning projects on Microsoft Azure, mentors team members, drives innovation, and enhances client relationships while implementing advanced analytics solutions and MLOps best practices.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

The Senior Data Scientist will work on a CTV ad-buying platform, writing Python production code, optimizing ad campaigns, and developing analytics tools.

As a Senior Data Scientist, you will develop machine learning models, optimize deployment processes, and collaborate with cross-functional teams to enhance clinical AI workflows.

The Senior Data Scientist will develop and apply data science models to optimize Reddit's advertising platform, analyze large datasets, and mentor junior scientists.

The Senior Data Scientist will build data infrastructure, implement BI tools, and provide data-driven insights to enhance Product, Sales, and Customer Success operations.

As a Lead Data Scientist in Marketing Research, you'll design and execute performance marketing strategies, using predictive models and statistical techniques to improve campaign efficiency and drive growth.

As a Principal Data Scientist, you will lead statistical and machine learning initiatives, influence modeling strategies, and drive impactful research for the insurance industry while collaborating across functions.

The Senior Data Scientist will design measurement frameworks, optimize marketing strategies, improve data-driven brand strategies, and lead data science initiatives for marketing impact.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Lead a team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.