Top Senior Level Data Science Jobs in Phoenix, AZ

This position involves designing, fabricating, and testing electrochemical in-dwelling analytical sensors, including analyzing results, advancing in-vivo testing, and ensuring protection of intellectual property. The role also includes troubleshooting design problems and guiding documentation for testing protocols.

The Lead Data Scientist will develop forecasting models and monitor revenue performance within Extend's Finance Analytics team. This role requires collaboration with senior leaders and cross-functional teams to identify revenue opportunities and improve financial planning. Key tasks include building data architecture for financial inputs and ensuring data integrity through effective governance.

As a Senior Data Scientist at VRChat, you'll collaborate with cross-functional teams to analyze product features and campaigns, conduct quantitative analyses, and deliver insights to drive strategic product decisions. You'll design metrics, perform root cause analyses, and create data visualizations, while leveraging your experience in data science to influence business outcomes in a remote work environment.

As a Staff Data Scientist at Invoca, you will lead the development and implementation of machine learning models and techniques, focusing on conversation intelligence and optimization for marketing and sales. This includes conducting research, mentoring team members, and creating efficient workflows for data curation while applying generative AI techniques and advanced algorithms.

As a Senior Data Scientist at Amperon, you will implement data validation processes, build advanced time series forecasting models, create features to enhance forecasting accuracy, monitor model training, evaluate performance, and deploy models into production environments, all while analyzing energy consumption data.

The Staff Data Scientist will lead the design, development, and deployment of advanced AI models, collaborating with cross-functional teams to enhance autonomous endpoint management capabilities. Responsibilities include analyzing data patterns, developing machine learning algorithms, ensuring AI model guardrails, and optimizing model performance in real-world applications.

The Senior DBA is responsible for managing and maintaining the database infrastructure, ensuring high performance and availability, and collaborating across teams to implement new technologies. Key responsibilities include schema deployment, privilege management, monitoring systems, and enhancing database architecture for global expansion.