Top Senior Data Science Jobs in Kansas City, MO

The role involves utilizing advanced analytics to extract insights from data, develop AI/GenAI solutions, and manage cross-functional teams while building relationships with clients.

As a Staff Data Scientist, you will monitor and analyze personal loans underwriting models, driving data-driven decisions and enhancing model performance through deep analytical insights.

The Staff Data Scientist will lead analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

The Senior Data Scientist will lead advanced analytics and AI/ML model development, collaborating on projects, mentoring junior members, and applying statistical expertise for strategic insights.

The Senior Data Scientist will analyze business challenges, conduct experiments, develop metrics, and collaborate with teams to drive data-driven decisions and user growth.

The Data Scientist will analyze ambiguous problems, drive data-driven decision making, manage data metrics, and lead experimental rigor while collaborating with teams to improve Coinbase products.

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

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.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

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.

Seeking a Data Scientist with 8-10 years of data science experience, including 2-4 years in manufacturing. Requires skills in building scalable data pipelines, ML model deployment, and strong communication with stakeholders.

The Senior People Data Scientist will deliver HR reporting and analytics using Oracle HCM and Databricks, focusing on data extraction, analysis, and visualization through Power BI. Responsibilities include ensuring data accuracy, compliance with privacy regulations, and collaboration with HR leaders to drive insights and enhance reporting capabilities.

This role involves partnering with sales to design data-driven solutions, engaging with customers, and supporting pre-sales engagements.

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

The Senior Data Scientist leads advanced analytics and AI/ML model development, focusing on statistical modeling, market share analysis, and strategic analytics while mentoring juniors and ensuring responsible AI practices.

The Senior Data Scientist will develop metrics for system availability and reliability, analyze performance, and collaborate across teams to enhance Netflix's infrastructure.

The Staff Data Scientist will optimize ads delivery, lead experimentation, mentor junior scientists, and communicate findings to stakeholders. They will work with product and engineering leaders to evolve strategy and improve tools for analyzing ads performance.

The Senior Data Scientist will analyze customer data, define success metrics, lead technical teams, and develop data infrastructure to improve products at Webflow.

Design, develop, and deploy production machine learning models to improve decisioning for consumer lending. Partner with business and technical teams to develop data sources, improve modeling methodology, manage models in production, and mentor others while practicing strong software engineering and MLOps practices.

Build production-quality data pipelines and analytical workflows using Python, SQL and Spark; clean, transform and analyze structured data; validate and deploy predictive models; support client presentations and explain results to non-technical audiences; contribute to and improve the firm’s analytics platform and tooling.

Drive measurement, causal inference, and experimentation to optimize content promotion and personalization. Build robust metrics, partner with product and engineering, surface discovery opportunities, and independently deliver high-impact analytics and ML solutions.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

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.