Data Scientist I

Data Scientist I

Position Summary: The Data Scientist I drives internal data analytics projects. The role collaborates with executive leaders to deliver analytical solutions to business problems. Initiatives vary from descriptive analyses to the development and implementation of advanced statistical, machine learning, and AI models. The Data Scientist I effectively communicates both technical and business concepts across all levels of the organization, and they influence decision making through presentation of data‑based recommendations.

Principal Responsibilities

• Builds statistical and machine‑learning models to enhance understanding of trends and predict future performance
• Participates in end‑to‑end data science project lifecycle – data mining and exploration, model development and evaluation, solution deployment in production, measurement, and tracking
• Performs time‑series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areas
• Transforms data into actionable insights and recommendations
• Designs experiments and interprets the results to draw detailed and actionable conclusions
• Researches and resolves data inquiries and requests
• Documents requirements for data science and reporting projects
• Designs, validates, and evaluates solutions using R, Python, SQL, and other programming tools
• Performs other job‑related duties as assigned

Qualifications

• Master's degree
• Demonstrated knowledge working with large databases to perform complex analysis
• 2 years of demonstrated knowledge of statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees
• 1 year of demonstrated proficiency with programming in R or Python
• 2 years of in‑depth hands‑on relational database and reporting experience including the ability to write SQL
• Experience with commercial analytic techniques including pricing, customer lifetime value, and churn modeling preferred

Minimum Qualifications

• Bachelor’s Degree in an analytical field (Mathematics, Economics, Computer Science, Information Management, Statistics, Finance, Engineering, etc.)
• Advanced SQL, scripting, and data visualization experience

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)

The statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position, and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required by an incumbent so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company.

EEO STATEMENT: 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.