Data Scientist III
Republic Services
Phoenix, AZ, US
Onsite
2026-06-21
Typical pay for this role in Phoenix
$77K - $134K
Low
$77K
Median
$101K
High
$134K
Official salary benchmark · BLS OEWS 2025
Job description
**POSITION SUMMARY:** 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.
The Data Scientist III drives internal data analytics projects. Projects will vary from short explorations of our data to longer\-term implementations of advanced predictive and machine learning models. The Data Scientist III constantly explores our existing data while seeking out new data to consume. They apply analytical and data science methods to real world datasets to solve ongoing business problems. The Data Scientist III effectively communicates both technical and analytical concepts across all levels of the organization, and they influence the roadmap and decision\-making through presentation of data\-based recommendations .
**PRINCIPAL RESPONSIBILITIES:**
* Builds robust Agentic AI and RAG applications using Responsible AI practices across model development, deployment and governance.
* Performs time\-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areas.
* Researches and resolves data inquiries and requests.
* Provides insights and serves as a subject matter expert for department data.
* Documents requirements for data science and reporting projects.
* Supports the development of standard data analyses, reports, and dashboards.
* Collaborates with other teams to gather data and build relationships.
* Transforms data into actionable insights and recommendations.
* Designs experiments and interprets the results to draw detailed and actionable conclusions.
* Builds statistical models to enhance understanding of trends and predicts future performance.
* Finds new opportunities and novel applications for our core internal data.
* Translates and champions our Machine Learning
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