Top Data Science Jobs in Minneapolis, MN

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

The Data Scientist 2 will design and deploy machine learning solutions, drive model lifecycles, ensure compliance, and communicate insights. Requires extensive experience in healthcare data, modeling, and cross-functional collaboration.

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

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

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.

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.

The Data Scientist Manager will oversee analytics projects, support campaign execution, manage data sets, and provide business-driven analytic solutions while collaborating with teams across the organization.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

Lead the design and deployment of machine learning solutions to address healthcare challenges, mentor data scientists, and ensure model compliance and interpretability.

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.

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.

As a Data Scientist, you will create ML and AI solutions for healthcare, focusing on NLP, generative AI, and user engagement analysis.

The Data Scientist role involves transforming alternative data into insights, building and validating predictive models, and creating technical white papers, leveraging AI-native tools.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

As an Applied Data Scientist, you'll develop features that optimize customer interactions, collaborating with various teams to create effective models and evaluate performance.

The Data Scientist II develops and optimizes machine learning models, analyzes data to inform business decisions, and collaborates with cross-functional teams while maintaining data integrity.

The Data Scientist will develop predictive models, analyze large datasets, and enhance mission-driven analytics for a DoD customer, using Agile methodologies and integrating data from multiple sources.

The Senior Data Scientist will leverage AI/ML for predictive modeling, uncover insights from data, and lead collaborative initiatives. They will optimize models and implement solutions across various domains.

The Principal Data Scientist will lead projects focusing on data-driven solutions, develop machine learning models, and collaborate with stakeholders to optimize business outcomes.

Manage data science initiatives, develop complex analytical solutions, oversee campaign execution, and collaborate with business leaders to provide insights and strategies.

As a Staff Data Scientist, you will drive growth through data science initiatives, optimize sales processes, and develop recommendation engines for strategic decisions. You will work closely with multiple teams and build models that enhance revenue opportunities.

As Staff Data Scientist, you will drive advanced analytics to optimize sales performance, build predictive models, and develop insights for decision-making across the GTM organization.

The Data Scientist IV leads machine learning model development, performs data analysis for insights, collaborates on projects, and mentors junior team members.