Top Senior Level Data Science Jobs in Atlanta, GA

As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.

The Senior Data Scientist II will generate actionable insights to improve recommendations for members, analyze productionized ML models, and design experiments. The role requires a deep understanding of predictive analytics, SQL, and proficiency in Python for data manipulation and model building.

The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.

As a Senior Data Scientist, you will derive insights from large health datasets and develop AI tools for medication management. Your responsibilities include creating predictive models, assessing program impacts, and presenting findings to stakeholders.

The Sr. Research Scientist will analyze and improve Yahoo's back-end systems by developing advanced stochastic streaming algorithms. Responsibilities include translating scientific algorithms into prototype code, collaborating with product teams to enhance data analysis, publishing research findings, and ensuring data quality in assigned areas.

As a Senior Revenue Operations Analyst, you will optimize revenue processes, guide stakeholders on best practices for sales and marketing, develop reports and dashboards, ensure data integrity, and lead revenue forecasting initiatives. Collaboration with cross-functional teams and hands-on experience with analytics tools is crucial for success.

The Senior Manager of Data Science will lead the data-science team to develop a strategic roadmap, implement advanced analytics, and oversee MLOps. Responsibilities include managing team priorities and resources, collaborating with cross-functional teams, and providing insights based on data analyses. A strong background in consumer marketing analytics, leadership experience, and technical skills in SQL, Python, or R are required.