Top Data Science Jobs in St. Louis, MO
The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.
As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.
As a Senior Data Scientist at Amperon, you'll build and deploy advanced machine learning models for time series forecasting in the energy sector. You'll validate data, create forecasting features, and analyze consumption patterns to optimize energy distribution. Your work will directly impact sustainable energy solutions.
The Staff Data Scientist will lead AI model design and development, conduct research to identify data trends, implement machine learning algorithms, and collaborate with cross-functional teams to integrate AI solutions into Tanium’s capabilities, ensuring optimal performance and scalability.
The Senior DBA is responsible for maintaining high availability and performance of database systems, managing cloud-based services, and enhancing database infrastructures for scalability. They monitor existing setups, collaborate on security measures and ensure efficient operational practices for a growing user base.
The Research Scientist will lead research and develop optimization algorithms for energy market participation, asset management, and risk management. Responsibilities include utilizing research insights to guide product direction, collaborating with various teams, and driving innovation within the company.
As a Staff Data Scientist at Enigma, you will leverage machine learning and statistical methods to enhance data accuracy and usability. You will work within cross-functional teams, develop innovative solutions, validate results against real-world data, and contribute to critical product developments that impact small businesses' access to financial services.
The Senior Revenue Operations Analyst will lead analytics projects that inform decision-making across Go-To-Market functions. Responsibilities include coordinating cross-department initiatives, improving analytics processes, ensuring data integrity, and conducting analyses to support revenue operations.
The Senior Revenue Analyst will manage global revenue streams, overseeing the month-end revenue close, ensuring compliance with US GAAP and ASC 606. Responsibilities include reviewing contracts, preparing journal entries, conducting revenue reconciliations, and collaborating with various teams to improve accounting processes and revenue recognition accuracy.
The Senior Data Scientist will analyze resident health and care data to provide insights and feedback, design and maintain algorithms, integrate new datasets, create visualizations, and collaborate with various teams to address business needs using data.
Top Companies in St. Louis, MO Hiring Data + Analytics Roles
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