Top Data Science Jobs in St. Louis, MO
The Senior Data Scientist at EquipmentShare will drive ongoing projects using various ML, operations research, and statistical techniques. Responsibilities include identifying opportunities for data science, collaborating cross-functionally, measuring business impact, and mentoring junior team members.
The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.
The Credit Analyst at Nabis will collaborate with the Director of Strategic Finance to expand the Nabis Capital platform, analyze creditworthiness of businesses, manage partner relationships, process financing requests, and drive efficiency through process improvements and performance reporting.
The Data Conversion Specialist will oversee data migration from legacy systems to LINQ’s ERP platform. Responsibilities include leading projects, ensuring accurate data transfer, validating data integrity, and providing post-conversion support. The role demands strong technical expertise and project management skills.
As a Data Scientist I, you will help the data team by identifying and managing data sources, utilizing Python, SQL, and R for data scraping and visualization. You will automate data processing, develop machine learning tools, collaborate with various teams, and advocate for best practices in data analysis and visualization.
The Senior Revenue Insights Analyst will drive business growth through data analysis and reporting. Responsibilities include understanding the data needs of the Customer Success organization, creating actionable dashboards, managing projects, and influencing strategic decisions based on business modeling and insights.
The Revenue Operations Analyst will enhance internal sales and marketing processes at UserGems, support go-to-market teams, and streamline operations through data-driven insights and recommendations. Responsibilities include system changes, onboarding training, and collaboration with sales and customer success teams to optimize the implementation of UserGems' solutions.
As a Staff Data Scientist, you will develop statistical and machine learning models to enhance the operations platform. Responsibilities include leveraging data to solve problems, collaborating across teams, implementing predictive models, and mentoring teammates. Excellent communication and technical skills are essential, along with a strong background in Python and statistical software.
As an Engineering Manager in the Machine Learning team, you will lead a group of data scientists and ML engineers to build innovative credit insights products. This role includes overseeing the development of machine learning models for credit risk assessment, defining strategic initiatives, and collaborating with stakeholders to enhance product delivery.
The Data and AI Specialist will drive data accuracy and growth at Crunchbase, focusing on LLM optimization, model performance evaluation, tool development, and data quality management while collaborating with data scientists and engineers.
Top Companies in St. Louis, MO Hiring Data + Analytics Roles
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