Data Scientist

Job Title: Data Scientist III (Generative AI)

Location: Phoenix, AZ

Start Date: ASAP

Duration: Permanent

Compensation: $136,900 - $164,300

Benefits: Eligible for Health, Dental, Vision, 401K, PTO

Must be authorized to work in the U.S. This position is not eligible for sponsorship.

Our client is seeking a Data Scientist III specializing in Generative AI and agentic architectures, with proven experience building and scaling end-to-end RAG solutions and autonomous AI agents while embedding Responsible AI practices across model development, deployment, and governance. This role drives internal data analytics projects ranging from short data explorations to long-term implementations of advanced predictive and machine learning models.

The Data Scientist III communicates technical and analytical concepts across all levels of the organization and influences the roadmap through data-based recommendations. You will join a growing team of data scientists and help shape how AI is built and deployed across the business.

• Build robust Agentic AI and RAG applications using Responsible AI practices across model development, deployment, and governance
• Participate in the end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, production deployment, measurement, and tracking
• Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess impact and extract trends across functional areas
• Build statistical models to enhance understanding of trends and predict future performance
• Design experiments and interpret results to draw detailed, actionable conclusions
• Design, validate, and evaluate solutions using Python, SQL, and other programming tools
• Transform data into actionable insights and recommendations, and support standard analyses, reports, and dashboards
• Collaborate with stakeholders and other teams to gather data, build relationships, and champion ML capabilities for non-technical audiences
• Educate and mentor team members on data science best practices, statistical programming, and data preparation

• 5 years of experience as a Data Scientist working with large databases to perform complex analysis
• Master's degree in a STEM field
• Strong MLOps background - big focus, including carrying models through the full development cycle into live production
• 5 years of Python
• 5 years of SQL
• Git experience
• Experience building and deploying ML/AI models in a cloud computing environment (e.g., AWS) and/or enterprise IT environment
• Strong statistical modeling skills (multivariate regression, logistic regression, cluster analysis, design of experiments, decision trees)
• Strong communication skills and experience working directly with stakeholders
• Hands‑on AI experience (at minimum, active personal use)

• Snowflake
• AWS
• Startup mindset
• Proficiency with Excel and PowerBI
• Experience with commercial analytics (pricing optimization, customer segmentation, churn/LTV) or operational analytics (logistics, route optimization, maintenance optimization)