Top Data Science Jobs in Minneapolis, MN

The Data Scientist will develop advanced geospatial models for logistics, improving delivery through data insights, and collaborate with teams on operational strategies.

The Data Scientist will enhance multifamily revenue management through data insights and AI, driving smarter pricing strategies and product features.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

The Data Scientist (GTM) role involves using data to support go-to-market strategies, improving sales execution, and translating blockchain activity into actionable insights, while working with various teams.

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

The role involves designing and interpreting experiments, leading cross-functional teams, mentoring data scientists, and analyzing data using statistical methods to inform product development.

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.

The Data Scientist will lead a team, design solutions using Databricks, analyze data models, and support IT modernization efforts.

The Data Scientist will facilitate the adoption of NEXUS by deploying use cases in production, benchmarking, collaborating on product insights, and managing customer relations across stakeholders.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

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.

The role involves establishing metrics for cloud games' quality of experience, analyzing data, and collaborating with engineering teams to enhance performance and drive data-informed decisions.

The Data Scientist will lead measurement initiatives for ad campaigns at Netflix, focusing on experimentation, modeling, and cross-functional collaboration to drive impactful solutions.

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

As a Staff Data Scientist at 15Five, you'll develop and integrate AI/ML models into performance management systems, conducting data analysis and statistical modeling to enhance business insights and outcomes.

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.

Lead development of data science technologies for industrial adhesive and tape products. Build and optimize proof-of-concept algorithms, collaborate cross-functionally, and support full application life cycle from data preprocessing and model building to deployment. Apply ML, deep learning, NLP, and computer vision methods using Python.

Lead the development of a data science practice at TRIMEDX, focusing on AI and machine learning to optimize clinical asset utilization and reduce operational costs. Oversee AI roadmap, advanced data modeling, and support commercialization of market solutions through data-driven insights.

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

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

The Data Scientist II will analyze customer data, build ML models, and communicate insights to support revenue growth and risk management for Socure's clients.

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

Interns will gain practical experience with AI/ML projects, mentorship from senior data scientists, and contribute to impactful solutions for clients.

The Data Scientist will build machine learning models to enhance claim audits, optimize performance, and improve healthcare decision-making by analyzing complex data sets.