Data Scientist III (Ops & Fleet) at Republic Services

Phoenix, Arizona, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Waste ManagementIndustries

Requirements

Bachelor’s Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering)
Master’s degree 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
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
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.)
Proficiency with programming in Python or R in data science and/or statistical analytics settings
Proficiency with relational databases and the ability to write SQL queries
Proficiency with Excel and PowerBI
Proficiency with cloud computing environments (e.g. AWS)
Prior lead/mentor experience is required
Knowledge of logistics, supply chain, and fleet management a plus
Applied experience with experimental design, time series modeling, and optimization preferred

Responsibilities

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