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About the Role

Drive internal data analytics projects, from data exploration to implementing advanced predictive and machine learning models. Apply analytical and data science methods to solve business problems, communicate technical concepts, and influence decision-making with data-based recommendations. Specialize in Generative AI and agentic architectures, building and scaling end-to-end RAG solutions and autonomous AI agents, while embedding Responsible AI practices.

Responsibilities

Build robust Agentic AI and RAG applications using Responsible AI practices across model development, deployment, and governance.
Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends.
Research and resolve data inquiries and requests.
Provide insights and serve as a subject matter expert for department data.
Document requirements for data science and reporting projects.
Support the development of standard data analyses, reports, and dashboards.
Collaborate with other teams to gather data and build relationships.
Transform data into actionable insights and recommendations.
Design experiments and interpret results to draw detailed and actionable conclusions.
Build statistical models to enhance understanding of trends and predict future performance.
Find new opportunities and novel applications for core internal data.
Translate and champion Machine Learning and advanced analytics capabilities for non-technical audiences.
Participate in the end-to-end data science project lifecycle, including data mining, model development, solution deployment, measurement, and tracking.
Design, validate, and evaluate solutions using Python, SQL, and other programming tools.
Educate and mentor team members on best practices for data analytics, including data science techniques, statistical programming languages, packages, and data preparation.
Perform other job-related duties as assigned.

Requirements

5 years of demonstrated experience working with large databases to perform complex analysis.
5 years of demonstrated experience with statistics and multivariate analytical techniques, including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees.
Demonstrated expertise building and deploying machine learning/AI models in a cloud computing environment (e.g., AWS) and/or enterprise IT environment.
Demonstrated expertise with common commercial analytics topics (e.g., pricing optimization, customer segmentation, customer churn/lifetime value) or operational analytics topics (e.g., logistics analytics, route optimization, maintenance optimization).
5 years of experience with advanced programming in Python or R and SQL.
5 years of experience conducting complex statistical analysis and building machine learning algorithms with large databases in cloud computing environments.

Skills

Proficiency in Python programming for data science and/or statistical analytics settings.
Proficiency with relational databases and the ability to write SQL queries.
Proficiency with Excel and PowerBI.
Proficiency with cloud computing environments (e.g., AWS).
Proficiency with Snowflake.

Experience Level

5 years of experience working with large databases for complex analysis.
5 years of experience with statistics and multivariate analytical techniques.
5 years of experience with advanced programming in Python or R and SQL, conducting complex statistical analysis and building machine learning algorithms.

Education Level

Bachelor’s Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering).
Master’s degree 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.
Provides customers with a complete set of products and services, including recycling, waste, special waste, hazardous waste, and field services.
Committed to advancing circularity and supporting decarbonization to create a more sustainable world.
Achieved $16.6 billion in total company revenue and $5.3 billion in adjusted EBITDA in 2025.
Serves 13 million customers and operates over 1,000 locations across North America.
Combines local operational management with standardized business practices for greater operating efficiencies.
Committed to exceeding customer expectations and helping them achieve sustainability goals.
Guided by company values: Safe, Committed to Serve, Environmentally Responsible, Driven, and Human-Centered.
Maintains a high employee engagement score of 86 and an inclusive, diverse culture.
Positively impacted 5.1 million people in 2024 through the Republic Services Charitable Foundation and local community grants.
Strategy focuses on profitable growth through acquisitions and industry advancements.
Manages customers’ multiple waste streams through a North American footprint of vertically integrated assets.
Focuses on three growth areas: recycling and waste, environmental solutions, and sustainability innovation.
Expanding recycling and waste business footprint through organic growth and targeted acquisitions.
Offers comprehensive environmental solutions, including PFAS remediation.
Innovations advance circularity and decarbonization, exemplified by the Republic Services Polymer Center.
Formed Blue Polymers, a joint venture with Ravago, to process plastic material for sustainable packaging.
Committed to harnessing landfill gas and converting it to Renewable Natural Gas (RNG).
Recognized as one of Barron’s 100 Most Sustainable Companies, Ethisphere’s World’s Most Ethical Companies, and Fortune World’s Most Admired Companies.
Invests in new tools and technology for safe and effective job performance.
Offers opportunities for learning and growth within roles.

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, genetic information, or any other characteristic protected by applicable law.
For concerns relating to Republic Services’ commitment to equal opportunity employment, contact the AWARE Line at 1-866-3-AWARE-4.