Top Data Science Jobs in Minneapolis, MN

The Data Scientist 1 role involves cleaning and analyzing complex datasets, developing statistical models, and communicating insights through data visualizations. Responsibilities include collaborating with teams, maintaining data quality, and keeping up with advancements in the field.

The Principal Research Data Scientist leads research projects, performing design, analysis, and publication of health outcomes research, leveraging SAS and SQL primarily.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

Lead end-to-end data science projects, develop machine learning models, collaborate with stakeholders, mentor team members, and communicate insights effectively.

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

The Senior AI & Data Scientist leads AI model development, data preparation, analysis, and deployment to enhance decision-making in the supply chain.

Lead enterprise analytics connecting customer experience, brand, and business performance. Build scalable analytical frameworks aligned to EPM, apply advanced statistical and AI/ML methods, integrate multiple data sources, and translate results into executive-ready insights. Drive experimentation, vendor evaluation, and AI-assisted analytics, and standardize reusable methodologies to embed automation and scalability across insights workflows.

The Principal Data Scientist will design and implement advanced AI/ML systems, lead development of large-scale machine learning solutions, and drive AI innovation in healthcare while mentoring other data scientists.

The Sr. Data Scientist will analyze business and clinical data, develop predictive models, and provide insights to support Labor Relations and People Business Partners.

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

Lead the design and development of scalable data platforms, ensure performance and reliability, mentor engineers, and drive data governance and quality practices.

Lead the design, development, and deployment of advanced machine learning solutions at Optum Tech, mentoring junior engineers and collaborating across teams.

The Data Scientist will design and develop advanced analytics applications, employing machine learning and statistical techniques to interpret complex datasets and improve operational effectiveness.

As a Data Analyst at Circle, you'll analyze payments data, create visualizations, develop dashboards, and support decision-making with insights. You'll partner with business teams to identify opportunities for enhancement and communicate findings effectively to stakeholders.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

The Sr. Principal Data Scientist develops advanced analytics and predictive models, collaborating with various teams to influence strategic business decisions and optimize outcomes.

As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

Design and implement optimization and ML models for network design, inventory positioning, forecasting, and transportation. Clean and transform large datasets, deploy production-ready analytical solutions (Python/R), build dashboards, and collaborate across procurement, planning, engineering, operations, and logistics to improve cost, service, and sustainability.

Develop, deploy, and operationalize analytical and ML/AI models for cybersecurity use cases. Collaborate with product and engineering teams to enable and migrate production workflows, work with databases and data architectures, create visualizations and reports, adopt new cloud orchestration and data virtualization technologies, and mentor junior cyber data scientists.

Conduct original economic research using Stripe transaction and public datasets; apply econometric and causal methods; build reproducible data pipelines; create economic indicators; translate findings for product, policy, and external audiences; publish and present research; collaborate cross-functionally and with external partners.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.

This role involves partnering with sales to design data-driven solutions, engaging with customers, and supporting pre-sales engagements.

The Data Scientist will enhance statistical models for forecasting, analyze datasets for operational planning, and communicate insights to stakeholders.

As a Data Scientist Intern, you will analyze data, develop predictive models, collaborate with teams, and improve data quality while contributing to business insights.