Top Data Science Jobs in Kansas City, MO

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

The role involves designing forecasting models for revenue, collaborating with teams to optimize growth strategies and drive analytics for business decision-making.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

As a Data Scientist, you will enhance business strategies through data science methods, focusing on Experimentation, Causal Inference, and improving member experience. You will collaborate with various teams to execute roadmaps and present research insights.

The Data Scientist will ensure statistical validity of products, develop techniques to enhance user value, collaborate cross-functionally, and drive data accessibility through optimizing queries and processes.

The Senior/Staff Data Scientist will develop models, data products, and insights for informed decision-making, creating dashboards and reports that drive business operations and outcomes.

Lead multi-omics analyses in therapeutic discovery, focusing on structural biology and proteomics; develop Python solutions and communicate findings.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

As a Senior Data Scientist, you'll partner with marketing stakeholders to develop analytical models, generate insights, and improve business decision-making through data-driven recommendations.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

The Staff Data Scientist will enhance engagement strategies using machine learning, lead cross-functional projects, mentor junior scientists, and collaborate on product insights.

As a Data Scientist, you will analyze large datasets, translate client goals into analytical solutions, and communicate findings effectively. You'll collaborate with teams to improve analytics processes and ensure data quality.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

As a Data Scientist, you'll develop statistical models, analyze data, build data pipelines, and collaborate to provide data-driven insights.

As a Staff Data Scientist, you will enhance Mozilla's operational efficiency by creating reporting systems, automating workflows, employing AI tools, and collaborating on metrics and performance analysis.

The Staff Data Scientist supports marketing intelligence products by enhancing forecasting and experimentation models, translating customer needs into technical requirements, and troubleshooting measurement issues.

Collaborate with data scientists to build models for recommendations and user segmentation, design A/B tests, and deploy ML models while ensuring clean, maintainable code.

Lead cross-functional data science initiatives, prototype ML models, and enhance procurement optimization strategies while mentoring junior team members.

Lead the development of credit risk models, collaborating with consultants and technology teams, and implement LLM-based agents for dynamic decision-making.

The Staff Data Scientist will lead the design and implementation of AI solutions for fraud detection, mentor team members, and collaborate with various stakeholders to deliver robust data products.

The Data Scientist II (RWD) will analyze real-world insurance claims and EHR data, conduct statistical analysis, and develop AI models while collaborating with experts to produce insights and communicate findings.

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, you will develop and refine machine learning models, integrate them into products, mentor team members, and drive business impact.

Lead the design and deployment of advanced statistical and AI models for talent marketplace. Improve AI models and build experimentation frameworks. Collaborate with cross-functional teams and contribute to thought leadership.

The Health Outcomes Data Scientist will analyze real-world health datasets to improve patient outcomes, leveraging data science methods and cross-functional collaboration to support healthcare cost reduction.