Data Scientist Jobs in Minnesota, United States

U.S. Bank is seeking a Data Scientist to help customers and businesses make smarter financial decisions by turning data into actionable insights. Day-to-day, you will design, develop, and maintain machine learning and predictive models, analyze large structured and unstructured datasets, and partner with business stakeholders, model validators, and compliance teams to translate findings into strategic recommendations.

Data Scientist role at LexisNexis Risk Solutions focuses on predictive modeling and statistical analysis across risk and fraud domains. The position leads the development and deployment of machine learning models using R, Python, SAS, and SQL, and builds cloud-based analytic solutions integrated into enterprise systems.

This Data Scientist role at U.S. Bank supports Cash Analytics by providing data management, analysis, and business intelligence dashboard creation. The individual consumes, organizes, and interprets large volumes of data to drive decisions, develop actionable insights, and present clear recommendations across the company.

DLA Piper is a global law firm seeking a Data Scientist to leverage large datasets for improving business outcomes across its US offices. The role designs data modeling processes, builds predictive models and algorithms, performs custom analysis, and works with internal stakeholders and clients to drive data-based insights and test courses of action.

Systems Innovation Engineering (SIE) division at Accelint builds resilient, integrated systems for readiness, logistics, and autonomous platforms. The Data Scientist designs and implements statistical models and machine learning algorithms, creates dashboards, and documents technical solutions to support advanced analytics for edge solutions.

Mortenson is seeking a Data Scientist to model complex business problems and uncover insights using statistical, algorithmic, mining, and visualization techniques, helping build a data-driven culture in an industry where analytics is still emerging. Day-to-day, the role involves understanding business challenges, extracting and analyzing data from internal systems and external sources, conducting statistical analyses and predictive modeling, and designing new methodologies, ideally using AI & ML

Data Scientist I at Boston Scientific develops and deploys deep learning models to interpret biologic signals on ambulatory patients, improving patient outcomes. Day-to-day work includes building models and infrastructure, validating and documenting models for production, supporting deployment and monitoring, publishing research, and developing intellectual property.

As a Data Scientist at Polaris Inc., you will apply advanced analytics, statistical modeling, and data science techniques to solve complex business problems and support data-driven decision-making across Polaris. Focused on the Supply Chain organization, you will optimize decisions related to Supplier Risk Mitigation by transforming large and varied datasets into actionable insights, collaborating with cross-functional partners, building predictive models, and deploying analytics solutions into

The Lead Data Scientist at Humana transforms high volumes of complex data into advanced analytic solutions using mathematics, statistics, modeling, business analysis, and technology. Day-to-day work includes developing and maintaining structured and unstructured data sets, creating reports, projections, models, and presentations to support business strategy, and advising executives on functional strategies.

AI/ML team at Phaedon builds AI-driven loyalty platform capabilities. The Senior Data Scientist designs, builds, and ships production ML models for fraud detection, personalization, recommendation, and forecasting, and maintains inference APIs and MLOps pipelines.

SEI seeks a Data Scientist II to leverage machine learning and Generative AI for scalable, data-driven solutions that enhance business performance. The role involves building LLM-based models, developing Power BI dashboards, and partnering with stakeholders to identify high-value opportunities.

RBC’s USWM Applied AI group seeks a Lead Data Scientist to drive machine learning solutions for wealth management insights. The role involves owning the full data science lifecycle, from problem framing to production deployment, while mentoring junior staff and collaborating with engineering teams.

Data scientists at DeFiner collaborate with engineering and marketing to uncover product insights and build machine learning solutions. They analyze large datasets, work closely with analysts and stakeholders, and present results to leadership.

Data Science team at Recruiting From Scratch builds next‑generation forecasting models that power revenue planning across multiple product lines. The role designs, trains, deploys and monitors machine‑learning solutions for short‑ and long‑term sales forecasts, creates self‑service tools for real‑time decision making, and translates model insights into strategic recommendations.

Calm is a leading consumer mental health company on a mission to support everyone on every step of their mental health journey. As a Senior Data Scientist on the insights team, you will leverage consumer data to prioritize product and growth investments, identify opportunities to improve acquisition, conversion, engagement, retention, and subscriber growth, and automate analyses and data products for key decision-makers.

Cardiology Marketing and Digital Enablement team at Boston Scientific builds data-driven marketing solutions to improve cardiovascular product outreach. The Principal Data Scientist leads AI-enabled product design, develops advanced statistical and machine learning models, and creates GenAI-powered analytics tools to deliver actionable insights.

Target Data Science Recommendations team builds AI-driven recommendation products for digital experiences. The Senior Applied Data Scientist, Personalization develops and scales deep learning models using PyTorch, designs experiments, and pushes solutions to production while collaborating with engineers and product managers.

MISO (Midcontinent Independent System Operator) is seeking a Senior Data Scientist – Market Evaluation to join its Digital Technology team. Based in Carmel, IN or Eagan, MN on-site, you will work with large, complex datasets to uncover market trends, investigate operational outcomes, and build forward-looking analytics that support grid reliability and market efficiency.