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About the Role

The Data Scientist III drives internal data analytics projects, ranging from short-term data explorations to long-term implementations of advanced predictive and machine learning models. This role involves applying analytical methods to real-world datasets to solve business problems, influencing the organizational roadmap through data-based recommendations, and communicating complex technical concepts to diverse audiences.

Responsibilities

Perform time-series analyses, hypothesis testing, and causal analyses to assess impact and extract trends.
Research and resolve data inquiries and requests.
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 teams to gather data and build relationships.
Transform data into actionable insights and recommendations.
Design experiments and interpret results to draw actionable conclusions.
Build statistical models to enhance understanding of trends and predict future performance.
Identify 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 mining, exploration, development, deployment, and tracking.
Design, validate, and evaluate solutions using R, Python, SQL, and other programming tools.
Educate and mentor team members on best practices for data analytics, statistical programming, and data preparation.

Requirements

Bachelor’s degree in an analytical field such as Mathematics, Computer Science, Information Management, Statistics, or Engineering.
5 years of experience working with large databases to perform complex analysis.
5 years of experience with statistics and multivariate analytical techniques including regression, cluster analysis, design of experiments, and decision trees.
Demonstrated expertise building and deploying machine learning/AI models in cloud computing or enterprise IT environments.
Demonstrated expertise with commercial or operational analytics topics.
5 years of experience with advanced programming in Python or R and SQL.

Skills

Python
R
SQL
Excel
PowerBI
Cloud computing environments (e.g., AWS)
Statistical analytics
Machine learning
Multivariate regression
Logistic regression
Cluster analysis
Design of experiments
Decision trees

Location

Phoenix, Arizona

Work Type

In-office
Full-time
Hybrid (four days per week in office, one day per week remote)

Experience Level

5 years of experience

Education Level

Bachelor’s degree required
Master’s degree preferred

Benefits

Comprehensive medical, dental, 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 company match
Employee Stock Purchase Plan (ESPP)
Paid Time Off (PTO)

About the Company

Leader in the environmental services industry providing recycling, waste, special waste, hazardous waste, and field services.
Operates across North America with 42,000 team members.
Focused on circularity, decarbonization, and sustainability innovation.
Values include being Safe, Committed to Serve, Environmentally Responsible, Driven, and Human-Centered.

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, genetic information, or any other characteristic protected by applicable law.