Top Senior Level Artificial Intelligence Data Science Jobs

Lead end-to-end data architecture and analytics for Parts Sales to End Users (STU): design Snowflake data models, build scalable data pipelines, develop Power BI dashboards, support forecasting and ML models, validate data quality, drive automation and system modernization, and communicate insights to senior stakeholders to improve reporting, forecasting, and business decisions.

This role involves onboarding clients, solving scientific problems, guiding data analysis on the Tempus platform, and creating documentation. Requires expertise in biomedical datasets and programming.

As an Advanced Data Science Consultant, you will develop algorithms, utilize machine learning techniques, collaborate with clients, and mentor junior team members to deliver advanced analytics solutions.

As a Senior Developer Advocate, you will lead community engagement in Data Observability, create content, mentor teams, and enhance product feedback from engineers.

MORSE Corp seeks a Data Scientist experienced in data analysis, algorithm development, and machine learning for national security solutions. Responsibilities include evaluating algorithms, transitioning them into software applications, and presenting findings to stakeholders.

Lead data science efforts by providing insights to executives, leveraging AI, and building data products while mentoring juniors.

Lead data science strategy and development at Optum.ai, focusing on AI, machine learning, and healthcare analytics, while mentoring teams and influencing cross-functional delivery.

The Senior Data Scientist will apply machine learning to improve cancer detection, collaborating across teams to analyze genomic data and develop innovative solutions.

Lead data science projects to optimize drug development, develop AI models for clinical trials, and collaborate with teams on biomedical workflows.

As a Staff Data Scientist, you will develop AI conversational agents and predictive models for Finance, collaborating with cross-functional teams to drive analytics adoption and solutions in finance operations.