Top Data Science Jobs in Tucson, AZ

As a Senior Data Scientist, you will analyze blockchain data, uncover insights, mentor peers, and collaborate to improve attribution models while addressing global security threats.

As a Senior Data Scientist, you will drive product analytics and experimentation, develop metrics, and collaborate with cross-functional teams to inform strategic decisions.

The Senior Data Scientist develops and maintains advanced analytics for commercial lending, focusing on predictive models, risk management, and data-driven insights. Responsibilities include automating workflows, building data visualizations, and mentoring analysts.

The role involves developing ML models for anomaly detection, time series forecasting, and predictive analytics for sewer infrastructure. Collaboration with engineering and data teams is essential to deliver insights effectively.

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 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.

Design and implement AI agents for autonomous goal management, evaluating alignment with human intent and integrating safety mechanisms while leading AI/ML system development.

The Senior Data Scientist will develop AI/ML algorithms for space data insights, lead projects, collaborate across teams, and present findings at conferences.

The Senior Data Scientist will analyze data to enhance rider retention through experimentation and collaboration across teams. Responsibilities include defining metrics, delivering data-driven solutions, and conducting deep analyses on rider engagement.

The Senior Data Scientist leads data science and machine learning projects on Microsoft Azure, mentors team members, drives innovation, and enhances client relationships while implementing advanced analytics solutions and MLOps best practices.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

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.