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.

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.

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.

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.

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.

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 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.

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.

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.

The Staff Data Scientist will design and optimize deep learning models for fraud detection, mentor peers, and lead data science initiatives.

The Senior Data Analyst will analyze data in Supply Chain and Manufacturing to drive recommendations, develop production management systems, and mentor junior analysts.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

As an AI-First Data Scientist, you will design and deploy ML solutions, conduct causal analysis, and automate intelligence in decision-making processes. You will work closely with senior operators and business leaders, translating complex problems into data-driven solutions while ensuring model performance and scalability.

Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.

The Senior Data Scientist will enhance the Marketing Mix Modeling platform, develop AI tools, automate modeling processes, and provide actionable insights from complex data.

The Data Scientist III will develop AI models for digital pathology, analyze data, collaborate with teams, and communicate findings. Requires a PhD and 5+ years experience.

This Data Scientist III role involves developing algorithms using machine learning on large datasets to drive business solutions, participating in projects, and potentially coaching other specialists.

Develop measurement frameworks for content quality and value, using statistical methods to inform strategic content decisions and enhance organizational insights.