Top Data Science Jobs in St. Louis, MO

The Data Scientist II will develop statistical models and ML solutions to enhance workforce planning and optimize resource allocation. Responsibilities include analyzing data, deploying algorithms, and collaborating with cross-functional teams to meet business needs.

As a Senior Data Scientist, you'll collaborate with teams, design analyses, develop algorithms, and influence product strategy using data insights.

The Senior Data Scientist will design and deploy predictive models, lead experimentation, collaborate across teams, and communicate findings to drive product strategy and business outcomes.

Seeking a Senior Data Scientist to guide analytics for Yahoo Games, focusing on player behavior and product strategies. Responsibilities include audience analysis, KPI definition, and collaboration with product teams to enhance game experiences.

As a Senior Data Scientist, you will lead advanced analytics product implementations, collaborate with teams to analyze blockchain data, and develop models to combat financial crime.

The Principal Data Scientist will lead the Ads Data Science team at Reddit, optimizing advertising strategies through advanced statistical methods and machine learning, while collaborating with multiple teams to influence key business decisions.

The Senior Data Scientist will translate autonomous vehicle data into insights, develop KPIs, and apply machine learning techniques for analysis and strategic decision-making.

The Sr. Cloud Engineer will develop and manage data pipelines, optimize cloud infrastructure, and collaborate with teams to implement new features, focusing on real-time machine learning and secure data storage solutions.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Lead a team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.