Top Data Science Jobs in Tucson, AZ

The Lead ML Ops Data Scientist will design scalable MLOps systems, mentor data scientists, and develop models for rental matching and personalization.

The Staff Data Scientist will design and optimize deep learning models for fraud detection, mentor peers, and lead data science initiatives.

As a Data Scientist II, you'll design and implement advanced deep learning models for fraud detection and risk management while collaborating across teams and managing projects autonomously.

Join the Core Data Science team to ensure statistical rigor in product development. Collaborate across teams to enhance data-driven decisions and contribute technically.

The Senior Data Analyst will analyze data in Supply Chain and Manufacturing to drive recommendations, develop production management systems, and mentor junior analysts.

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.

The Data Scientist will enhance Smart Signals accuracy using data science and ML techniques, collaborating with engineers and data scientists.

As an AI-First Data Scientist, you will design and deploy ML solutions, conduct causal analysis, and automate intelligence in decision-making processes. You will work closely with senior operators and business leaders, translating complex problems into data-driven solutions while ensuring model performance and scalability.

Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.

The Senior Data Scientist will enhance the Marketing Mix Modeling platform, develop AI tools, automate modeling processes, and provide actionable insights from complex data.

As a Data Scientist II at Root, you will refine pricing models, ensure regulatory compliance, collaborate across departments, and apply technical expertise in data analysis and modeling.

Develop measurement frameworks for content quality and value, using statistical methods to inform strategic content decisions and enhance organizational insights.

The Data Scientist will lead customer investigations, improve fraud detection, influence product direction, and mentor other analysts.

Lead the forecasting team at Pinterest, focusing on model development for key metrics, driving strategic insights, and mentoring data scientists. Collaborate across departments to integrate forecasts into decision-making processes.

Lead the data science team in developing analytical frameworks, mentoring members, and collaborating with engineering and research to deliver insights for investment management.

The Data Scientist II will develop and implement machine learning models to optimize GoGuardian's platforms, communicate findings, and improve data processing workflows.

The Data Scientist will analyze large datasets, support data validation, collaborate on feature engineering, and assist in predictive modeling to improve forecasts.

Design and develop systems for data organization, analyze statistical relationships, develop software for modeling, and present findings in various formats.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

As a Data Scientist at BetterHelp, you will analyze large data sets, design experiments, and collaborate with teams to drive product insights and improvements.

The Data Scientist will analyze and model data related to ad-tier members, focusing on identity modeling and improving ad targeting capabilities, while collaborating with cross-functional teams.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

The Staff Data Scientist leads revenue forecasting and reporting, develops and maintains models, and communicates insights to senior leadership.

The Staff Data Scientist will lead revenue forecasting efforts, develop models in Python, and communicate insights to senior leadership while mentoring other data scientists.

This role involves partnering with sales to design data-driven solutions, engaging with customers, and supporting pre-sales engagements.