Top Data Science Jobs in St. Louis, MO
The Director of Data Science will oversee AI Insights at Movable Ink, managing a data team and guiding product analytics. Responsibilities include maintaining the internal reporting stack, mentoring client-facing teams, and presenting insights to senior client executives. The role focuses on advancing the Analytics product and driving improvements in the model suite through collaboration.
Lead a team of data scientists to deliver analytics solutions that positively impact business outcomes. Manage data science projects, implement predictive models, and improve deployed solutions. Ensure effective communication regarding data science methodologies and support project management practices.
As a Senior Data Scientist, you will leverage organizational data for insights that enhance user experiences and boost business efficiency. Key responsibilities include developing predictive models, deploying advanced analytics solutions, and collaborating with cross-functional teams to solve complex transportation challenges. The role emphasizes creativity, problem-solving, and a deep understanding of business needs.
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Develop and deploy advanced data science models using LLMs, GPT, and RAG. Utilize deep learning techniques to drive business growth and enhance functionality on the platform. Communicate findings to stakeholders.
The Senior Revenue Operations Analyst will execute commission runs, provide data-driven insights to the GTM team, refine Salesforce workflows, collaborate with engineering on integrations, oversee automated email workflows, and maintain GTM process documentation.
As a Senior Data Scientist, you will develop and enhance software solutions for short-term rental hosts using machine learning and data analysis to improve decision making, optimize pricing, and enhance guest experiences. You'll collaborate with cross-functional teams to define product requirements and ensure effective delivery of insights-driven tools.
The Outcomes Research Data Scientist will analyze Tempus data for real-world evidence (RWE) studies, interpret results, communicate findings, collaborate with various teams to enhance data quality, and ensure compliance with regulations. Candidates should possess experience in oncology, biostatistics, and handling observational healthcare data.
The Advanced Cyber Analyst will support the Cybersecurity Operations Center by analyzing cybersecurity data to identify threats and provide actionable recommendations to leadership through presentations and visualizations. The role requires active TS/SCI clearance, and familiarity with SNORT and Elastic Stack is essential.
As a Senior AI Data Scientist, you will design, develop, and deploy machine learning and deep learning models while managing projects using structured and unstructured data. You will mentor junior team members, collaborate with cross-functional teams, create data visualizations, and stay updated on AI trends, ensuring effective communication of findings and aligning technical specifications with business needs.
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.
Top Companies in St. Louis, MO Hiring Data + Analytics Roles
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