Data Scientist I

Republic Services; Phoenix (AZ); On-site; USD 70,000 - 90,000; Full time

Job summary

Republic Services, a leader in waste services, seeks a Data Scientist I to support internal AI and analytics initiatives. You will apply foundational AI, data science, statistics and programming skills to solve well-defined business problems and deliver interpretable results aligned with business context.

You will partner with senior data scientists, analytics engineers and business stakeholders to translate analytical work into clear insights that inform decision-making, maintain and document

Qualifications

• Foundational AI, data science, statistics, and programming skills.
• Ability to build, evaluate, and document ML/AI solutions with guidance.
• Translate analyses into clear insights for business decisions.
• Collaborate with senior data scientists and business stakeholders.

Responsibilities

• Develop and evaluate statistical, ML, and AI models with guidance.
• Perform data cleaning, feature preparation, EDA, and model evaluation.
• Translate results into actionable insights for defined business questions.
• Document solution design and support deployment and measurement.

Job description

POSITION SUMMARY

The Data Scientist I supports internal AI and analytics initiatives by applying foundational AI, data science, statistical, and programming skills to solve well-defined business problems. The incumbent focuses on building, evaluating, and documenting AI, analytical and machine learning solutions under guidance, while ensuring results are accurate, interpretable, and aligned with business context. The Data Scientist I partners with senior data scientists, analytics engineers, and business stakeholders to translate analytical work into clear insights that inform decision-making.

PRINCIPAL RESPONSIBILITIES

Develops and evaluates statistical, machine learning, and AI models using appropriate performance metrics, with guidance from senior team members, including data cleaning, feature preparation, exploratory data analysis, prompt engineering, LLM-based applications, and model evaluation. Conducts hypothesis testing, time series analysis, and basic causal or experimental analysis to assess impact and identify trends. Transforms analytical results into clear, actionable insights that answer defined business questions. Participates in the end-to-end analytics lifecycle, including analysis, validation, basic deployment support, and measurement. Contributes to maintaining and improving existing analytics solutions and models. Documents solution design, analytical