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About the Role

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

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.

Requirements

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.).

Skills

Python
SQL
Generative AI
Large language models (LLMs)
Git
Code reviews
Modular design
Cloud environments
ML Ops tools
Experiment tracking frameworks
AI-based coding assistants
Snowflake
AWS
Pricing optimization
Customer segmentation
Customer churn/lifetime value
Logistics analytics
Route optimization
Maintenance optimization
Average handle time
Containment rate
Deflection rate
NPS
Customer sentiment

Location

Metro Phoenix, Arizona area

Work Type

In-office

Experience Level

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.

Education Level

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

Benefits

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).

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.
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, Committed to Serve, Environmentally Responsible, Driven, Human-Centered.
We are proud of our high employee engagement score of 86. We have an inclusive and diverse culture where every voice counts. In addition, our team positively impacted 5.1 million people in 2024 through the Republic Services Charitable Foundation and local community grants.
Republic Services’ strategy is designed to generate profitable growth. Through acquisitions and industry advancements, we safely and sustainably manage our customers’ multiple waste streams through a North American footprint of vertically integrated assets.
We focus on three areas of growth to meet the increasing needs of our customers: recycling and waste, environmental solutions and sustainability innovation.
Republic continues to expand its recycling and waste business footprint throughout North America through organic growth and targeted acquisitions.
Our comprehensive environmental solutions capabilities help customers safely manage their most technical waste streams.
Republic’s recent innovations to advance circularity and decarbonization demonstrate our unique ability to leverage sustainability as a platform for growth.
The Republic Services Polymer Center is the nation’s first integrated plastics recycling facility.
Republic is committed to harnessing landfill gas, a natural byproduct of decomposing waste, and converting it to energy.

Equal Opportunity

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.