Senior Manager, Advanced Analytics (Ops & Fleet)

Overview

Leads advanced analytics to create models and insights for operational and fleet strategies.

Key Responsibilities

• machine learning
• feature engineering
• model validation
• experimental design
• data preparation
• stakeholder engagement

Tasks

-Participates in determination of stakeholder needs and ensures business value is realized. Determines data analysis goals given business objectives. Determines data requirements and performance metrics to support analysis. -Modifies and analyzes data sets using complex analytics techniques such as machine learning, advanced statistical analysis, mathematical optimization and simulation. Identifies modeling attributes and parameters. Applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and business goals. -Partners with business customers as a thought leader to identify research and/or business opportunities that the analytics team can support. -Evaluates and validates correctness of models and analysis. Assesses and confirms performance of models and analysis. Validates that models and analyses meet business objectives. -Implements best practices and repeatable processes that ensure consistent, quality delivery of modeling and analytics work. This encompasses responsibility for quality control including ensuring that appropriate documentation and peer review processes are in place. -Collaborates with business leaders to define a roadmap of data science deliverables. -Builds and manages a best-in-class advanced analytics team. -Conducts extensive analysis around price elasticity, willingness to pay, competitive assessment, and price-volume trade off curves. -Communicates analytical results to clients in a consultative manner, and always at a level that is consistent with the target audience -Leads the team in defining and developing production-ready solutions. -Prepares complex data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, feature engineering, and handling multivariate data. -Works with field organizations to construct statistically valid tests of new initiatives. Responsible for experimental design, measurement of results and the development of strategy insights and implications.

Requirements

• bachelor’s
• master’s
• ms sql
• python
• sas
• leadership

What You Bring

-5+ years of experience working with IT or other operational resources to automate analytics workflows and models. -2+ years of experience leading analysts directly or in a matrix capacity as part of large, complex projects requiring resources across multiple teams. -Bachelor’s Degree in an analytical field (Mathematics, Economics, Computer Science, Information Management, Statistics, Finance, Engineering, etc.). -5+ years of experience building, managing and manipulating large data sets in a database environment -Master’s degree -Knowledge of logistics, supply chain, and fleet management a plus. Applied experience with experimental design, time series modeling, and optimization preferred. -Demonstrates attention to detail, organization, and deliverables, including driving projects to completion in accordance with established timelines. -Waste Industry experience or experience working in a subscription-based industry. -5+ Years of experience and demonstrated knowledge of applying statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees to real word business problems. -5+ years of experience and demonstrated proficiency with quantitative tools including MS SQL, SAS, R, Python or similar statistical software. -Prior leadership experience is required, experience as a Data Scientist preferred. -Demonstrated proficiency with MS Office including Word, SQL Server, and PowerPoint. Excel skills should be advanced

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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.

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