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Republic Services

Waste management and recycling services provider

Director Operations Analytics

Data Science +1Confirmed live in the last 24 hours
Full-timePhoenix, AZ, USA

About the Job

Requirements

  • Working knowledge of modern cloud data platforms and multi-layer data warehouse architectures.
  • Command of data science and statistical analytics, with applied experience in regression, gradient-boosted methods, time-series forecasting, and optimization.
  • A strong foundation in Python, R, and SQL, with practical analytics engineering knowledge including dbt, advanced SQL, curated data models, metric and semantic layer definition, and automated data quality testing.
  • Deep experience with enterprise business intelligence, including dataset design, performance tuning, governed self-service, and release management.
  • Familiarity with geospatial analytics, GPS and telematics data, and route and logistics optimization engines.
  • Practical understanding of generative AI in an enterprise setting and an informed point of view on agentic AI, including multi-step agent design and judgment about when these approaches outperform a conventional model.
  • Understanding of MLOps practices, including model registry, feature store, retraining pipelines, and drift monitoring.
  • Demonstrated ownership of an analytics function serving a large operational or field-based business such as waste, logistics, transportation, distribution, utilities, field services, or manufacturing.
  • A track record of delivering machine learning into production and sustaining it, including monitoring, retraining, drift management, and handoff to engineering.
  • Experience running enterprise analytics as a product at scale.
  • Hands-on experience deploying generative AI or large language model solutions into enterprise production.
  • Experience leading through other managers within a large, matrixed organization and partnering with Information Technology, Enterprise Data, and business stakeholders.
  • Experience building and championing a resourcing case covering headcount, contract labor, and funding sources.
  • 10+ years of progressive experience in data science, advanced analytics, or business intelligence.
  • 5+ years of experience leading teams, including 2+ years leading through other managers.
  • Demonstrated experience delivering machine learning or advanced analytics solutions into production use.

Responsibilities

  • Lead the Operations Analytics organization, roadmap, and product portfolio, including data science, business intelligence, and data analytics products such as volume forecasting and staffing, route standards, and coaching insights.
  • Serve as the analytics partner and primary point of contact to Operations leadership, communicating results and providing consultative, analytics-based thought leadership to senior management and executive leaders in operational and financial terms.
  • Leverage advanced analytics to analytically derive and validate key operating metrics and data attributes such as weight, service time, and disposal turn time.
  • Establish functional best practices, including MLOps, the analytics development lifecycle, metric definitions, and business intelligence dashboard composition, form, and function.
  • Direct predictive and prescriptive modeling and evaluate model performance to maintain accuracy and performance standards for monitoring, drift detection, and retraining.
  • Extend the portfolio into generative and agentic AI to drive effective outcomes, including extracting unstructured data, automating operational-report summarization, and generating AI-based coaching insights.
  • Partner with Information Technology and Enterprise Data to architect and engineer data platforms that enable data science and advanced analytics; own the semantic layer and metric definitions across models and business intelligence products.
  • Run the Operations business intelligence suite, balancing new development against defect resolution and platform events in partnership with Information Technology.
  • Champion data science and AI adoption across the enterprise.
  • Perform other job-related duties as assigned or apparent.

Desired Qualifications

  • Snowflake experience.
  • Route-based or fleet operations experience, including geospatial analytics, telematics, and routing optimization experience.
  • Experience with Snowflake, dbt, and enterprise-scale Power BI.

About the Company

Republic Services

Waste management and recycling services provider

Republic Services provides environmental services focused on waste and recycling, including solid, special, and hazardous waste management, advanced recycling, field and industrial services, 24/7 emergency response, equipment rental, and cleaning. It leverages a nationwide network of recycling centers and a large workforce to collect, process, recycle, treat, and dispose of waste under a single-source solution, and it captures landfill gas to generate renewable energy. Unlike fragmented providers, it offers a broad, integrated suite of services through one partner and pursues sustainability initiatives like circular economy programs. Its goal is to help customers meet environmental goals and improve environmental and economic sustainability by reducing waste, boosting recycling, and generating renewable energy.

Company size
10,001+
Company stage
IPO
Headquarters
Phoenix, AZ
Founded
1998

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