Data Scientist Jobs in Arizona, United States

Data Science team at Bennett Aerospace develops automation frameworks and analytical models for ecological field data within the Hydrogeomorphic approach. The role designs, tests, and implements algorithms, builds data pipelines in R and Python, and ensures consistent outputs for wetland functional assessments.

MGM Resorts International seeks a Principal Data Scientist to lead advanced AI/ML initiatives that personalize guest experiences and drive commercial performance. The role involves designing, building, and deploying predictive models, managing end‑to‑end data pipelines, and collaborating with engineering, analytics, marketing, and product teams.

Decision Analytics team at Vanguard builds analytical engines that integrate causal analysis, predictive modeling, and optimization to drive business decisions. The Senior Data Scientist designs and develops these engines, translates complex business questions into scalable frameworks, and partners with product and engineering to deploy production-quality components.

Data Scientist at PayPal focuses on payments risk management and data analytics. Develop and implement predictive models, analyze complex datasets, and ensure data quality.

Senior Data Scientist, Global Data & Analytics at Circle K (Alimentation Couche‑Tard) leads high‑impact data science projects to drive customer retention and growth. The role collaborates with Loyalty, Marketing, Finance, and Data teams to build machine learning and statistical models, interpret results, and integrate insights into operational excellence initiatives.

Data Science team at City of Hope focuses on leveraging health care and EHR data to drive insights and improve patient outcomes. The Data Scientist designs and implements statistical and machine learning models, conducts time series analysis, and creates visualizations to communicate findings to non‑technical stakeholders.

Data Science team at The Predictive Index builds evidence for a new venture, turning product signals into defensible insights. The role owns analytics pipelines, runs experiments, and partners with Product, GTM, and Behavioral Science to guide decisions.

Data Scientist to drive advanced analytics, generative AI, and ML solutions across manufacturing, supply chain, and IT. Develop predictive models, classifier systems, and AI-assisted insights using Databricks and Microsoft Copilot Studio to enhance operational performance.

Data Scientist on PNC’s Data and Automation team, building intelligent agents and automation tools that streamline departmental workflows. The role designs, deploys, and tunes Copilot‑powered agents, develops internal tools, and manages data pipelines to support analytics and GenAI use cases.

Data Scientist I at Republic Services drives internal analytics projects, building statistical and machine‑learning models to forecast trends and inform executive decisions. The role spans end‑to‑end data science lifecycle—data mining, model development, deployment, and impact measurement—using Python, R, SQL, and PowerBI.

Data Science team at UPS Capital builds advanced analytics models to generate predictive and prescriptive insights for supply chain operations. The role designs data pipelines, develops machine learning models, validates performance, and presents actionable findings to business stakeholders.

Data Scientist MID on the Pacific Intelligence Team at GDIT transforms large, multi‑source intelligence datasets into actionable insights that drive operational planning, targeting, and senior‑leader decision‑making across the Indo‑Pacific theater. The role performs complex statistical analysis, builds AI/ML models, and develops automated data pipelines to support JIOC analytical workflows.

Data Science team at Republic Services drives internal analytics and builds advanced predictive and machine learning models to support waste and recycling operations. The Data Scientist III designs experiments, develops statistical and ML models in Python/R, deploys them in AWS, and translates insights for non‑technical stakeholders.

Data Science team at CrowdStrike builds next‑generation AI‑driven cybersecurity agents, training large language models and developing agentic systems to protect modern organizations. The Data Scientist designs, trains, and evaluates LLMs and reinforcement‑learning agents, optimizes prompts, creates evaluation pipelines, and collaborates with engineering and threat research to move prototypes into production.

Data Science Team at General Dynamics Information Technology delivers advanced AI/ML solutions to federal clients, turning big data into actionable insights. The Senior Data Scientist designs and implements AI/ML tools, builds data models and dashboards, and leads security‑focused analytics in hybrid cloud environments.

Product Data Science at In Tandem builds AI‑first predictive models that power personalized in‑app experiences for families across OurFamilyWizard, Cozi and FamilyWall. The Product Data Scientist ships churn, retention and pricing models, creates automated Databricks pipelines, and partners with Product and Finance to turn millions of interactions into actionable forecasts.

Data Science team at Republic Services builds advanced analytics and AI solutions to improve waste management operations. The Data Scientist III designs and deploys generative AI and RAG applications, conducts time‑series and causal analyses, and creates predictive models using Python, SQL, and AWS. Phoenix office, on‑site work model, relocation assistance available.

USAA Federal Savings Bank (USAA FSB) leads AI innovation to empower members with secure financial solutions. The Data Scientist Lead drives strategic adoption of Generative AI, building production models, guiding teams, and partnering with business leaders to deliver insights and automation.

ServiceMac, a leading mortgage servicing entity, builds advanced analytics to drive operational excellence. The Sr. Data Scientist designs, deploys, and optimizes predictive models on large datasets, automates model feedback loops, and advises cross‑functional teams on analytic best practices.