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LU

Reporting Data Scientist (Project Controls) | Hybrid | Sacramento, CA

Predictive analytics Data visualization dashboards Automated reporting

About the Role

We’re looking for a Reporting Data Scientist to help deliver analytics for large, complex infrastructure programs—including transportation, airports, and water/wastewater initiatives. In this role, you’ll support enterprise project controls and program management by turning complex project, financial, cost, schedule, and risk information into clear, decision-ready insights.

Responsibilities

  • Build advanced analytics and predictive models to support program planning, forecasting, and performance tracking
  • Develop automated reporting solutions and executive dashboards for stakeholders
  • Transform raw project data into actionable business intelligence across multiple program areas
  • Collaborate with project controls teams to improve data quality, reporting workflows, and visualization standards
  • Support program-wide analytics and risk/cost/schedule reporting using scalable, repeatable methods

Requirements

  • Experience applying data science techniques to real-world business or program management problems
  • Strong skills in data visualization and dashboard development
  • Ability to work with complex datasets involving cost, schedule, risk, and financial metrics
  • Comfort partnering with cross-functional teams to translate analytics into executive-ready outputs
  • Experience supporting automated reporting and forecasting processes

Benefits

  • Opportunity to contribute to major national infrastructure programs
  • Work on enterprise-level project controls and program management analytics
  • Collaborate with teams focused on data-driven decision-making
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Posted on July 14, 2026
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