Top Senior Level Data Science Jobs in Boise, ID

The Senior Revenue Operations Analyst will shape territory design for sales teams through analysis and process automation. Responsibilities include territory assignment, data management, improving data hygiene, and collaborating with various teams to ensure effective lead and account routing.

As a Sr. Data Scientist at Viaduct, you will collaborate with clients to develop tailored data science solutions, utilize advanced machine learning techniques to extract actionable insights from complex datasets, and communicate findings to non-technical stakeholders. You will design scalable models, work cross-functionally with teams, and ensure seamless integration of data science solutions into the overall technology stack.

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.

As a Staff Data Scientist, you will analyze data discrepancies, support investigation of data anomalies, size opportunities for metric improvements, implement data quality controls, and lead strategic initiatives to enhance data integrity. You will collaborate with engineers and communicate best practices to ensure data reliability across teams.