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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist I - **Company:** Republic Services - **Location:** Phoenix, AZ, United States - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, BASIC (Programming Language), Big Data, Computer Programming, Data Cleansing, Relational Databases, Cursor (Graphical User Interface Elements), Statistical Hypothesis Testing, Information Management, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Cloud Platform System, GitHub Copilot, Large Language Models, Snowflake, Prompt Engineering, Model Validation, Git, Information Technology, Software Version Control, Data Pipelines - **Published:** August 28, 2026 - **Apply:** https://www.juju.com/job/00000000gpfuvy ## About the Role + Skilled at programming in Python in data science, AI, and statistical analysis settings. + Proficient with relational databases and the ability to write SQL queries. + Preferred experience working with cloud-based data platforms and infrastructure, such as Snowflake and AWS, to support analytics, AI, and data science workflows. + Familiarity with version control (Git) and basic collaborative development practices. + Familiarity with AI-based coding assistants like GitHub CoPilot, Cursor, Claude Code. + Knowledge of Excel and PowerBI. + 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). + 1 year of experience with advanced programming in Python and SQL, conducting complex statistical analysis and building machine learning algorithms or AI applications with large databases. + 1+ years of experience working with large databases to perform complex analysis. + 1+ years of experience with advanced statistical modeling, machine learning methods, and/or AI models. ## 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., + 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 assumptions, data definitions, and limitations in a clear and reproducible manner. + Works closely with team members to understand business requests, clarify requirements, and ensure analyses pass practical and operational validation checks. + Learns commonly used AI and analytic techniques and how they are applied to Republic Services business challenges. + Performs other job-related duties as assigned or apparent., 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. These projects are designed to meet the specific needs of the communities we serve, with a focus on building sustainable neighborhoods. STRATEGY 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. With our integrated approach, strengthening our position in one area advances other areas of our business. For example, as we grow volume in recycling and waste, we collect additional material to bolster our circularity capabilities. And as we expand environmental solutions, we drive additional opportunities to provide these services to our existing recycling and waste customers. Recycling and Waste We continue to expand our recycling and waste business footprint throughout North America through organic growth and targeted acquisitions. The 13 million customers we serve and our more than 5 million pick-ups per day provide us with a distinct advantage. We aggregate materials at scale, unlocking new opportunities for advanced recycling. In addition, we are cross-selling new products and services to better meet our customers' specific needs. Environmental Solutions Our comprehensive environmental solutions capabilities help customers safely manage their most technical waste streams. We are expanding both our capabilities and our geographic footprint. We see strong growth opportunities for our offerings, including PFAS remediation, an increasing customer need. Sustainability Innovation 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. These innovative sites process rigid plastics from our recycling centers, producing recycled materials that promote true bottle-to-bottle circularity. We also formed Blue Polymers, a joint venture with Ravago, to develop facilities that will further process plastic material from our Polymer Centers to help meet the growing demand for sustainable packaging. We are building a network of Polymer Centers and Blue Polymer facilities across North America. Our customers are increasingly looking for decarbonization solutions, and we are leveraging our network of landfills to meet that need. Republic is committed to harnessing landfill gas, a natural byproduct of decomposing waste, and converting it to energy. Republic has partnered with renewable gas developers to construct Renewable Natural Gas (RNG) plants at our landfills, expanding beyond the 77 projects we currently have to make progress towards our goal to beneficially reuse 50% more biogas by 2030 (2017 baseline year). ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)