About the Position We’re seeking a Reporting Data Scientist to support large, complex infrastructure programs, including highways, roads, bridges, transit (rail and bus), international airports, and water/wastewater projects delivered through both traditional and alternative project delivery methods. This role will support enterprise-level project controls and program management functions by developing advanced analytics, predictive models, automated reporting solutions, and executive dashboards that transform complex project, program, financial, cost, schedule, and risk data into actionable business intelligence. The successful candidate will help drive data-informed decision-making across some of the nation's largest infrastructure programs.

Based on the source materials, this role will support program-wide analytics, forecasting, reporting automation, and visualization initiatives within a Project Controls organization. This is a long-term, full-time, on-site position located in Sacramento, CA.

Responsibilities

may include, but are not limited to, the following: Develop, maintain, and continuously improve enterprise-level data models, analytics frameworks, reporting workflows, and performance measurement systems. Build predictive, statistical, and forecasting models supporting cost, schedule, risk, and program performance management. Design, develop, and maintain Power BI dashboards, visualizations, and automated reporting solutions for executive leadership and project stakeholders.

Analyze large and complex datasets to identify trends, risks, anomalies, performance drivers, and opportunities for process improvement. Partner with project controls, scheduling, cost management, risk management, finance, and program management teams to integrate data from multiple sources and produce unified analytical outputs. Support monthly, quarterly, and executive-level reporting cycles through preparation, validation, and analysis of project and program data.

Identify opportunities to automate manual reporting processes and improve data accessibility, quality, and efficiency. Establish and maintain data governance, quality assurance, and validation procedures to support reliable decision-making. Collaborate with project teams and stakeholders to collect, validate, consolidate, and interpret data from multiple systems and platforms.

Present analytical findings, dashboard insights, trends, and recommendations to executive management and other stakeholders.

Requirements

and strategic program performance initiatives. Contribute to PMIS, reporting, analytics, and business intelligence improvements across major capital infrastructure programs. Attributes Excellent written and verbal communication and interpersonal skills.

Excellent analytical thinking, problem-solving, and data storytelling capabilities. Collaborative mindset that fosters teamwork, trust, positive relationships, and effective coordination across cross-functional stakeholders. Strong organizational skills with the ability to manage multiple priorities and deadlines simultaneously.

Strong attention to detail and commitment to accuracy, quality, accountability, and continuous improvement.

Minimum Qualifications

Master’s degree in data science, computer science, statistics, engineering, business analytics, or related field. 8+ years of experience performing data analytics, business intelligence, reporting, predictive modeling, or data science functions in large infrastructure construction programs, collaborating with (at a minimum) program controls, program scheduling, and program risk management teams. Experience supporting major capital infrastructure, transportation, transit, aviation, water/wastewater, or construction programs.

Strong knowledge of project controls, management reporting, business intelligence, data management, and performance measurement methodologies as they relate to heavy civil infrastructure programs.