Top Data Science Jobs in Providence, RI

Design and implement solutions using statistical methods and machine learning to address complex business questions. Collaborate with teams to obtain relevant datasets, create models, and oversee scalable codebases. Drive decision-making through data insights in a healthcare technology environment.

The Senior Data Scientist at Bonterra is responsible for developing analytics and predictive models to support organizational capabilities. They will work closely with data engineers, product engineers, product managers, and other data scientists to optimize user experience and outcomes for enterprise-level software. This role involves owning predictive model requests, mentoring junior data scientists, and quantifying analytic success.

Seeking a Senior Applied Science professional to work on search experience, ranking and matching algorithms, and hiring experience for users of the marketplace. Responsibilities include initiating and driving applied science initiatives to improve customer and service provider matching and building a healthy marketplace.

As a Decision Scientist, you will apply data-driven techniques to identify opportunities, participate in project definition, and directly impact business strategy setting outcomes. You will be responsible for implementing and monitoring customer-facing decisions and risk controls, as well as working closely with ML teams to inform model evaluations.

Seeking a Senior Scientist with experience in semiconductor device physics, materials modeling, and microfabrication process. Responsibilities include supporting the development of advanced semiconductor devices, leading project sub-tasks, and contributing to research proposals and publications. Requires a Bachelor's degree in physics, engineering, or similar field, 3-5 years of work experience in material sciences, familiarity with microfabrication process and multi-physics modeling, and the ability to obtain and maintain DoD Secret Clearance.

Support a market-leading product from analysis through to action, deliver analyses leading to product or business strategy insights, work closely with various teams to ensure cloud readiness for enterprise customers, use imperfect data to influence strategic company decisions, empower the company with data and analytical insights.

The Staff Data Scientist at Dropbox is responsible for designing and building solutions to collect high-quality data, transform it into insights, and collaborate with various teams to ensure data quality and integrity. Key responsibilities include developing best practices for event tagging, integrating data pipelines, guiding teams on product instrumentation, and building automated solutions for data validation.