Top Data Science Jobs in St. Louis, MO
The Credit Analyst II will analyze and underwrite commercial credit risks, prepare loan approvals, conduct financial assessments, and monitor credit quality trends to assist in lending relationship presentations. This role includes preparing financial statements and reports, researching financial information, and discussing creditworthiness with management.
Senior Credit Analysts serve as a representative of the Bank providing analytical and administrative support to the commercial, commercial real estate, and consumer lending departments. Responsibilities include financial analysis, credit investigations, loan management, and team leadership.
The Data Annotation Specialist reviews and labels various data types for AI and ML training data. This role requires attention to detail and teamwork within a large group, while effectively communicating and adapting to changing priorities.
The QC Scientist I will perform HPLC and UPLC testing in a GMP environment, compiling data, preparing reports, and collaborating with other departments. Responsibilities include conducting stability tests, ensuring timely delivery of results, and adhering to safety guidelines.
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The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.
The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.
The Data Annotation Specialist will review and label video data to support machine learning projects, maintain organized records, and ensure data quality standards. This part-time role offers flexible hours while contributing to improving products for dog owners.
The Data Scientist is responsible for applying data science principles and methods to solve complex problems and deliver actionable insights. Key responsibilities include using statistical and algorithmic techniques, managing R&D processes, and communicating insights to stakeholders. The role emphasizes collaboration, autonomy, and innovation in crafting data-driven solutions.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.
The Senior Data Scientist will lead the development and optimization of generative AI models for text, image, and other data types. Responsibilities include designing advanced models, conducting experimentation, collaborating with teams, and mentoring junior staff while staying updated on generative AI research.
Top Companies in St. Louis, MO Hiring Data + Analytics Roles
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