Top Senior Data Science Jobs in St. Louis, MO

The Experienced Data Scientist at Boeing will analyze data, implement machine learning models, collaborate with teams, ensure data compliance, and mentor junior scientists.

The Senior Data Scientist will influence product roadmaps, drive AI/ML capabilities, and perform deep-dive analysis to shape data-informed strategies.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

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.

This role involves analyzing blockchain data, mentoring a team, building models, and collaborating with blockchain researchers to enhance product development and security.

The Senior Data Scientist will provide data-driven insights, build analytical models, and collaborate with stakeholders to enhance decision-making and operational efficiency.

As a Senior Data Scientist, you'll conduct analyses, own data and metrics, guide code reviews, and maintain statistical rigor in experimentation and causal analyses to support the Coinbase Institutional business.

As a Senior Data Scientist, you will analyze data to produce insights, guide team decisions, improve systems, and influence stakeholders. You'll conduct rigorous experimentation and causal analysis to solve complex business challenges.

As a Senior Data Scientist at Coinbase, you'll analyze complex problems, influence product strategy using insights, and guide data practices in a high-caliber team environment.

The Senior Data Scientist will conduct analyses to guide decision making, own data metrics, and influence stakeholders using statistical rigor and expertise in SQL and Python.

The Senior Data Scientist will analyze user behavior, design experiments, create segmentation strategies, and communicate findings to impact product optimization and business growth.

The Expert Exploitation Specialist/Data Scientist is responsible for production management, data entry, digital product replication, and workflow automation to optimize data processes.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

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

Lead the development of production-grade machine learning solutions, collaborating with cross-functional teams to solve complex business problems and deliver measurable impact.

The Data Scientist will design data solutions, analyze datasets, and collaborate with engineers using GCP and various tools to enhance data-driven decision-making.

As a Data Scientist Tech Lead, you will guide a team in developing and deploying machine learning and generative AI systems, mentor other data scientists, and collaborate with various stakeholders to drive analytics solutions.

The Staff Data Scientist will develop and enhance marketing intelligence products, manage data science models, optimize algorithms, and collaborate across teams to translate technical methodologies into business solutions.

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.

Develop and implement fraud detection models using machine learning techniques, analyze data for patterns, and optimize existing models for risk management.

Develop and implement fraud detection models using machine learning. Collaborate with teams and analyze data to enhance fraud prevention strategies.

Lead design and development of ML systems for restaurant technology, including menu recommendations and demand forecasting, influencing strategic decisions and enhancing customer experiences.

The Lead ML Ops Data Scientist will design scalable MLOps systems, mentor data scientists, and develop models for rental matching and personalization.