Data Scientist III

POSITION SUMMARY: The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and machine learning solutions that directly impact business outcomes. The incumbent owns complex AI and data science initiatives end to end: translating ambiguous business problems into analytical approaches, developing models with appropriate validation, deploying to production, and monitoring performance. The Data Scientist III balances statistical rigor, engineering best practices, and business impact, ensuring solutions are appropriately scoped, scalable, and production ready. The incumbent serves as a technical leader on project teams, a mentor to junior data scientists, and a trusted analytical partner to business stakeholders by clearly communicating insights, tradeoffs, and recommendations.

PRINCIPAL RESPONSIBILITIES:

Designs and builds advanced statistical, predictive, machine learning, and AI models, selecting appropriate evaluation metrics and diagnostics to assess performance and business impact.

Develops approach to solution monitoring and model diagnostics, resolving common modeling issues (e.g., transformations, data limitations, bias, drift, prompt engineering, semantic retrieval, hallucination detection, or model assumptions).

Independently investigates appropriate model structures, assumptions, and analytical techniques and how they translate to real world business problems.

Partners with business stakeholders to identify opportunities to apply existing analytics approaches to new problems and unlock additional value from internal and external data sources.

Organizes analyses into clear, logical narratives, presenting insights and recommendations to technical and non-technical audiences.

Relates operational, commercial, financial, and performance metrics to analytics solutions to drive meaningful business impact.

Acts as a subject matter expert and analytical thought partner for assigned functional areas.

Mentors data scientists and technical teams on advanced modeling, architecture, and problem solving approaches.

Designs modular, reusable AI and analytical components and functions that support flexibility and maintainability.

Partners with engineering, data, and product teams to support production deployment and long-term sustainability.

Documents solution design, assumptions, data definitions, and limitations to support reuse and transparency.

Performs other job-related duties as assigned or apparent.

QUALIFICATIONS:

Advanced proficiency in Python for data analysis, modeling, AI, and solution development.

Advanced proficiency in SQL and relational data concepts.

Strong understanding of Generative AI, large language models (LLMs), and common enterprise use cases.

Strong experience with software engineering best practices (Git, code reviews, modular design).

Experience building, deploying, and monitoring models in cloud environments.

Working knowledge of ML Ops tools and experiment tracking frameworks.

Familiarity with AI-based coding assistants like GitHub CoPilot, Cursor, Claude Code.

Demonstrated expertise working with cloud-based data platforms and infrastructure, such as Snowflake and AWS, to support analytics and data science workflows.

Demonstrated expertise with common commercial analytics topics (e.g. pricing optimization, customer segmentation, customer churn/lifetime value, etc.), operational analytics topics (e.g. logistics analytics, route optimization, maintenance optimization, etc.), or Customer Experience analytics topics (e.g. Average handle time, containment rate, deflection rate, NPS, customer sentiment, etc.

Master's Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering) - preferred.

MINIMUM REQUIREMENTS:

Bachelor’s Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering).

5 years of experience with advanced programming in Python and SQL, conducting complex statistical analysis and building machine learning algorithms or AI applications with large databases in cloud computing environments.

5+ years of demonstrated experience working with large databases to perform complex analysis.

5+ years of experience with advanced statistical modeling, machine learning methods, and/or AI models.

This is an in-office position. Must reside in the metro Phoenix, Arizona area.

Rewarding Compensation and Benefits

• Eligible employees can elect to participate in:
• •Comprehensive medical benefits coverage, dental plans and vision coverage.
• •Health care and dependent care spending accounts.
• •Short- and long-term disability.
• •Life insurance and accidental death & dismemberment insurance.
• •Employee and Family Assistance Program (EAP).
• •Employee discount programs.
• •Retirement plan with a generous company match.
• •Employee Stock Purchase Plan (ESPP).

Paid Time Off (PTO)

Benefits: https://jobs.republicservices.com/us/en/about-us/benefits

The statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position, and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required by an incumbent so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company.

EEO STATEMENT:Republic Services is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, relationship or association with a protected veteran (spouses or other family members), genetic information, or any other characteristic protected by applicable law. For any concerns relating to Republic Services’ commitment to equal opportunity employment, you may contact the AWARE Line at 1-866-3-AWARE-4.

ABOUT THE COMPANY

Republic Services, Inc. (NYSE: RSG) is a leader in the environmental services industry. We provide customers with the most complete set of products and services, including recycling, waste, special waste, hazardous waste and field services. Our industry-leading commitments to advance circularity and support decarbonization are helping deliver on our vision to partner with customers to create a more sustainable world.

In 2025, Republic’s total company revenue was $16.6 billion, and adjusted EBITDA was $5.3 billion. We serve 13 million customers and operate more than 1,000 locations, including collection and transfer stations, recycling and polymer centers, treatment facilities, and landfills.

Although we operate across North America, the collection, recycling, treatment, or disposal of materials is a local business, and the dynamics and opportunities differ in each market we serve. By combining local operational management with standardized business practices, we drive greater operating efficiencies across the company while maintaining day-to-day operational decisions at the local level, closest to the customer.

Our customers, including small businesses, major corporations and municipalities, want a partner with the expertise and capabilities to effectively manage their multiple recycling and waste streams. They choose Republic Services because we are committed to exceeding their expectations and helping them achieve their sustainability goals. Our 42,000 team members understand that it's not just what we do that matters, but how we do it.

Our company values guide our daily actions:

• •Safe : We protect the livelihoods of our colleagues and communities.
• •Committed to Serve : We go above and beyond to exceed our customers’ expectations.
• •Environmentally Responsible: We take action to improve our environment.
• •Driven : We deliver results in the right way.
• •Human-Centered: We