Top Senior Data Science Jobs in Tucson, AZ

The role involves developing machine learning algorithms for cybersecurity, leading design of security data solutions, and managing security automation tools. Requires strong collaboration skills and a minimum of 5 years in ML or data science.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

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.

Client-facing data scientist supporting clinical data transfer, ETL, validation, analysis, and Power BI dashboards. Build R scripts, assist data harmonization, support internal tools and basic web interfaces while working with cross-functional teams on clinical trial data.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

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

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

As the Staff Data Scientist, you will lead the data science function, driving strategy, mentoring peers, and shaping product direction through advanced analytics and experimentation.

Seeking a Data Scientist with 8-10 years of data science experience, including 2-4 years in manufacturing. Requires skills in building scalable data pipelines, ML model deployment, and strong communication with stakeholders.

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

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

The Senior Data Scientist will develop metrics for system availability and reliability, analyze performance, and collaborate across teams to enhance Netflix's infrastructure.

The Staff Data Scientist will optimize ads delivery, lead experimentation, mentor junior scientists, and communicate findings to stakeholders. They will work with product and engineering leaders to evolve strategy and improve tools for analyzing ads performance.

Design, develop, and deploy production machine learning models to improve decisioning for consumer lending. Partner with business and technical teams to develop data sources, improve modeling methodology, manage models in production, and mentor others while practicing strong software engineering and MLOps practices.

Drive measurement, causal inference, and experimentation to optimize content promotion and personalization. Build robust metrics, partner with product and engineering, surface discovery opportunities, and independently deliver high-impact analytics and ML solutions.

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

The role involves designing and interpreting experiments, leading cross-functional teams, mentoring data scientists, and analyzing data using statistical methods to inform product development.

The Staff Data Scientist will develop and deploy machine learning solutions for healthcare applications, working with complex datasets and collaborating with cross-functional teams.

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

The Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.