Top Data Science Jobs in Tucson, AZ

As a Senior Data Scientist, you will develop models to extract insights from complex datasets, focusing on temporal and geospatial features, while collaborating with engineering teams to implement solutions.

As a Senior Data Scientist, you will design forecasting models, analyze user behavior, and build data pipelines to drive business strategies and insights at Mozilla.

Responsible for developing predictive models to drive business strategy, identifying data trends, creating reports and dashboards, and collaborating across teams.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

Design and build recommendation and personalization systems, conduct A/B testing and causal inference, and mentor the data team in best practices.

Drive the development and deployment of data science products focused on causal inference from observational data, collaborating with teams and maintaining data science solutions.

The Data Scientist will analyze raw data, build models, visualize information, and provide solutions to enhance business performance.

As a Senior Data Scientist at Phantom, you'll analyze product data to drive strategic decisions, develop metrics, and collaborate with cross-functional teams to enhance user experience in the crypto ecosystem.

As a Senior Data Scientist, you'll design forecasting models, build data pipelines, analyze user behavior, and guide decision-making with data-driven strategies.

The Geospatial Scientist leads data management initiatives, oversees data governance, and ensures quality and compliance of geospatial data for DHS.

Lead the development of machine learning algorithms for advertising data, driving efficiency in marketing platforms, and optimizing ad strategies through analysis of large datasets.

As a Senior Data Scientist, you will develop predictive models and algorithms to optimize marketing bidding strategies, enhancing growth and profit at Root.

The role involves building machine learning algorithms, implementing data cleaning processes, and developing predictive models in the energy sector.

Lead marketing measurement models, analyze user acquisition performance, design experiments, and automate reporting. Collaborate across teams to align models with business goals.

As a Senior Data Scientist, you'll drive insights through data analysis, causal inference, and experiment design, collaborating with various teams to improve customer experiences.

Lead the data discipline for Wolf Games by designing a scalable data ecosystem that drives AI systems and enhances player experiences.

Lead research initiatives using real-world data to revolutionize drug discovery. Mentor team members, manage complex projects and collaborate on observational study designs.

As a Senior Data Scientist, you'll drive product strategy, analyze data for insights, collaborate across teams, and mentor junior staff.

Lead the design and implementation of machine learning models for demand forecasting in hospitality, focusing on Bayesian modeling and model deployment.

Lead data science strategy for Discord's ads product, collaborating with cross-functional teams to enhance advertising technology while prioritizing user privacy and delivering effective products.

Lead complex projects leveraging AI and machine learning to deliver innovative data-driven solutions, requiring extensive experience and technical expertise.

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 at Pinterest, you will apply quantitative modeling, experimentation, and collaboration skills to enhance products and provide insights for business challenges.

The Senior Data Scientist will analyze large-scale data, develop statistical analyses, build machine learning models, and optimize user engagement and product performance.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.