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.

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 Principal Data Scientist will lead data analysis projects, collaborate with product management, assess business impacts, ensure data governance, and mentor junior analysts. Must leverage statistical techniques and machine learning to drive product strategy and business outcomes.

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.

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

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead data science initiatives to develop and deploy AI solutions that improve business outcomes. Collaborate with cross-functional teams to analyze data, create models, and evaluate performance.

The Data Scientist develops statistical and machine learning models to support data-driven decisions, collaborating with stakeholders and ensuring analytical results are actionable.

As a Staff Data Scientist, you'll develop and deploy machine learning models to enhance renter experiences and optimize property partnerships, collaborating across teams to translate data insights into actionable strategies.

The Data Scientist collaborates with stakeholders to develop machine learning applications, analyze data, and enhance team operations, improving processes with data-driven insights.

The Data Scientist will develop and apply advanced analytical and machine learning solutions, collaborating with stakeholders to translate business questions into actionable insights, while executing the analytics lifecycle and maintaining analytical models.