Top Remote Data Science Jobs in Minneapolis, MN

Lead the development of predictive modeling and supply chain analytics, focusing on ETA prediction for transportation logistics using advanced analytics and machine learning techniques.

Design and implement predictive models using machine learning for underwriting and patient care. Analyze healthcare data to inform strategies and collaborate with cross-functional teams.

As a Senior Data Scientist at Gradient AI, you'll design predictive models for insurance underwriting, analyze large datasets, and collaborate with cross-functional teams.

The Staff Data Scientist will enhance Pinterest's Shopping experience through machine learning, causal inference, and robust methodologies, impacting product strategy and mentoring junior data scientists.

As a Data Scientist, you will analyze and model data to optimize machine learning systems, such as dynamic pricing and trip dispatching. Your role includes conducting exploratory data analysis, deploying ML applications, and collaborating across teams to improve solutions.

Lead the data science team in developing analytical frameworks, mentoring members, and collaborating with engineering and research to deliver insights for investment management.

As a Data Scientist at BetterHelp, you will analyze large data sets, design experiments, and collaborate with teams to drive product insights and improvements.

The Staff Data Scientist role involves shaping product strategy, conducting analyses, driving experimentation, and mentoring junior data scientists at Reddit.

The Data Scientist will develop marketing intelligence solutions, support products, enhance forecasting, troubleshoot measurement issues, and translate client needs into technical requirements.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

The Staff Data Scientist will enhance Pinterest's Curation by developing models and frameworks to understand and improve recommendation systems, influencing product strategy and mentoring junior scientists.

The Associate Data Scientist will build and evaluate machine learning models, derive insights from data, and collaborate on data science solutions to solve complex problems.

The Senior Data Scientist will drive product innovation through experimentation and robust measurement strategies in Netflix Games, collaborating with Product and Engineering teams to enhance user experience.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

The role involves designing forecasting models for revenue, collaborating with teams to optimize growth strategies and drive analytics for business decision-making.

Conduct failure analysis on AI agent performance in finance tasks, identifying patterns and recommending improvements based on statistical findings.

The Data Scientist will lead data projects, apply advanced machine learning, and derive insights to influence business strategies while mentoring junior colleagues.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

As a Data Scientist, you will enhance business strategies through data science methods, focusing on Experimentation, Causal Inference, and improving member experience. You will collaborate with various teams to execute roadmaps and present research insights.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

Conduct analyses on ambiguous problems, guide data ownership, and maintain statistical rigor while influencing stakeholders through data storytelling.

The Data Scientist will ensure statistical validity of products, develop techniques to enhance user value, collaborate cross-functionally, and drive data accessibility through optimizing queries and processes.

The Senior/Staff Data Scientist will develop models, data products, and insights for informed decision-making, creating dashboards and reports that drive business operations and outcomes.

Lead multi-omics analyses in therapeutic discovery, focusing on structural biology and proteomics; develop Python solutions and communicate findings.