Data Scientist III (Ops & Fleet)

Overview

Leads data analytics, modeling, and ML projects for operational and fleet insights.

Key Responsibilities

• experiment design
• statistical modeling
• data mining
• model development
• dashboard development
• production deploy

Tasks

-Designs experiments and interprets the results to draw detailed and actionable conclusions. -Builds statistical models to enhance understanding of trends and predicts future performance. -Researches and resolves data inquiries and requests. -Collaborates with other teams to gather data and build relationships. -Documents requirements for data science and reporting projects. -Finds new opportunities and novel applications for our core internal data. -Designs, validates, and evaluates solutions using R, Python, SQL and other programming tools. -Performs time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areas. -Collaborates with business leaders to define a roadmap of data science deliverables. -Supports the development of standard data analyses, reports, and dashboards. -Educates and mentors team members on best practices for data analytics including data science techniques, statistical programming languages and packages, and data preparation. -Leads the team in defining and developing production-ready solutions. -Translates and champions our Machine Learning and advanced analytics capabilities for non-technical audiences. -Provides insights and serves as a subject matter expert for department data. -Participates in end-to-end data science project lifecycle – data mining and exploration, model development and evaluation, solution deployment in production, measurement, and tracking. -Transforms data into actionable insights and recommendations.

Requirements

• aws
• python
• sql
• machine learning
• master's
• leadership

What You Bring

-Proficiency with cloud computer environments (e.g. AWS). -Master’s degree preferred. -Proficiency with Excel and PowerBI. -Prior lead/mentor experience is required, experience as a Data Scientist preferred. -Proficiency with programming in Python or R in data science and/or statistical analytics settings. -5 years of experience with advanced programming in Python or R and SQL, conducting complex statistical analysis and building machine learning algorithms with large databases in cloud computing environments. -Bachelor’s Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering). -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, etc.) or operational analytics topics (e.g., logistics analytics, route optimization, maintenance optimization, etc.). -Knowledge of logistics, supply chain, and fleet management a plus. Applied experience with experimental design, time series modeling, and optimization preferred. -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. -Proficiency with relational databases and the ability to write SQL queries.

People Also Searched For

Benefits

-Employee Stock Purchase Plan (ESPP). -Employee and Family Assistance Program (EAP). -Comprehensive medical benefits coverage, dental plans and vision coverage. -Health care and dependent care spending accounts. -Short- and long-term disability. -Employee discount programs. -Life insurance and accidental death & dismemberment insurance. -Retirement plan with a generous company match. -Great Place to Work

About Republic Services

-It operates collection, transfer, recycling centers, landfills and energy‑from‑waste facilities across the U.S. -Typical projects include curbside residential pickup, commercial/industrial waste hauling, recycling operations and landfill gas‑to‑energy plants. -Specialisms span residential and commercial collection, industrial waste services, recycling processing, hazardous waste treatment, and renewable energy generation.

Sector Specialisms