Top Data & Analytics Jobs in St. Louis, MO

The Application Enablement Analyst will join the Data Operations team of a healthcare data and analytics software company. This role involves client-facing, process improvement, and technical responsibilities in a rapidly growing organization focused on healthcare solutions.

Join Restaurant365 as a Senior Data Engineer and lead the execution of the enterprise data lake, data warehouse, and analytic solutions. Partner with business and technical stakeholders to design, build, and monitor data pipelines and transformations, and ensure data quality and integrity.

Develop robust, scalable production ML systems using Python, Tensorflow, Airflow, Kafka, PostgreSQL, Redis, and AWS. Collaborate with Data Scientists and Product Managers to deliver personalized experiences to learners at scale. Strong focus on building algorithms and frameworks for personalization capabilities.

Lead a team of engineers in creating and deploying machine learning models and algorithms. Manage the machine learning lifecycle, research and implement new techniques, mentor team members, and communicate with stakeholders. Requires a Master's or PhD in a quantitative subject, 5+ years of software engineering team management experience, and experience with scaling machine learning models in business applications.

Responsible for managing existing databases, identifying areas for improvement, and developing solutions to enhance systems. Collaborates with software development teams to ensure high availability of mission-critical SQL server systems. Requires 4 years of SQL Server Database Administrator experience and knowledge of SQL, data modeling, and database performance tuning.

The job involves translating business requirements into technical use cases and data flows, assisting in the architecture and planning of projects, and serving as a technical subject matter expert for data-driven marketing tactics. Requires experience in ad technology or marketing with strong analytical and communication skills.

Partner with the Cash App Health org to derive insights from datasets, analyze customer behavior, design A/B experiments, forecast metrics, and build data visualizations. Collaborate with cross-functional teams to drive meaningful change and protect customers' interests.

This role is for a Machine Learning Engineer specializing in modeling for Cash App. Responsibilities include building machine learning models for fraud detection, customer support automation, and underwriting and credit evaluation. The company is focused on redefining the world's relationship with money through innovative financial products and experiences.

Join Cash App's Machine Learning team to build models for fraud detection, customer support automation, and underwriting. Work on state-of-the-art algorithms, use NLP, OCR, biometric data, and advance credit solutions. Be part of a dynamic team focused on innovation and impact.