Top Remote Data Science Jobs in Minneapolis, MN

The Senior Statistical Data Scientist will develop, validate, and automate analytical pipelines, translating metadata into reproducible code, mentoring peers, and ensuring compliance for regulatory submissions.

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

The Data Scientist 2 will develop fraud detection models and advance products focusing on identity verification, requiring strong technical skills and research capabilities.

The Data Scientist II will develop and implement machine learning models to optimize GoGuardian's platforms, communicate findings, and improve data processing workflows.

The Data Scientist will analyze large datasets, support data validation, collaborate on feature engineering, and assist in predictive modeling to improve forecasts.

Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.

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 Data Scientist will analyze complex data sets, support product improvements, and collaborate with teams to drive data-informed decision-making.

The Data Scientist II role involves designing and implementing machine learning models for fraud detection, analyzing data patterns, and collaborating with cross-functional teams to enhance identity verification products.

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

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

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

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

Develop and program methods to consolidate and analyze data sets, generating insights for customer solutions and program enhancement, while collaborating with vendors and technology teams.

The Senior Responsible AI Data Scientist will lead ethical AI initiatives, ensuring compliance and transparency while working cross-functionally to develop scalable AI solutions in healthcare.

Lead data science initiatives focusing on healthcare fraud, waste, and abuse. Perform detection analysis, assess trends, and present findings to support decision-making.

As a Data Scientist II, you'll conduct analyses to optimize pricing and marketing, develop predictive ML models, and collaborate with teams to drive data-driven solutions.

The Staff Data Scientist will enhance engagement strategies using machine learning, lead cross-functional projects, mentor junior scientists, and collaborate on product insights.

As a Senior Data Scientist, you'll partner with marketing stakeholders to develop analytical models, generate insights, and improve business decision-making through data-driven recommendations.

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 Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

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.