Top Data Science Jobs in St. Louis, MO

The role involves leading AI and GenAI solution development, managing analytics teams, and driving business growth through strategic direction and client engagement.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

The Senior Data Scientist will lead data analysis projects, implement machine learning models, mentor junior staff, and ensure data security in a mission-critical environment.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

As a Geospatial Data Scientist, you'll support the NGA by analyzing geospatial data, developing analytic processes, providing visual insights, and advising leadership on methodologies.

As a Geospatial Data Scientist, you will design and operationalize analytic models to structure complex GEOINT attributes, ensuring transparency and defensibility in decision-making for the NGA.

Lead end-to-end data science projects: build, deploy, and monitor ML models (credit risk, pricing, collections, fraud). Partner cross-functionally, productionize pipelines, write production-grade code, and communicate results to technical and non-technical stakeholders.

The Analytics Engineer/Data Scientist will develop data models for cost analysis and reporting, transforming raw data into structured datasets and providing insights for customer billing.

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

The Data Scientist designs and builds data structures for AI applications, manages vector and feature stores, leads data discovery, and collaborates on responsible data use while ensuring high-quality, governed datasets for ML models and applications.

The Data Scientist II will develop machine learning algorithms, architect data solutions, and support cybersecurity initiatives by analyzing complex data sets.

This role involves leading data science projects, designing technical solutions, implementing machine learning methodologies, and developing data workflows for cybersecurity applications.

As a Staff Data Scientist, you'll design and optimize ML systems for claims handling automation, collaborating with product and engineering teams.

The Research Data Scientist conducts data analysis, develops machine learning models, and collaborates on data pipeline development to enhance TV viewing and advertising metrics.

The Supply Chain Data Scientist develops analytics to enhance supply chain efficiency and reliability, working with operational data to optimize network performance and decision making.

The Data Scientist will work on data analysis, visualization, and reporting, utilizing various tools to assist stakeholders' needs.

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.

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

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.

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 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.