Reporting Data Scientist

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.

• →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.

• 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.
• Demonstrated experience developing executive-level reporting, dashboards, analytics, and data visualization solutions.
• Experience implementing data strategies, analytics workflows, reporting processes, and data governance practices.
• Experience integrating data from multiple systems and sources to create unified reporting and analytical outputs.
• Experience developing predictive models, forecasting tools, statistical analyses, and performance metrics.
• Strong proficiency with Python, R, SQL, or similar programming and analytics tools.
• Proficiency with Power BI and other dashboarding, visualization, and business intelligence platforms.
• Proficiency with Microsoft Office Suite/Office 365 (e.g., Outlook, Teams, Word, Excel, PowerPoint, etc.).

• Project Management Professional (PMP), Microsoft Power BI Data Analyst, Google Data Analytics, MBA, or similar professional certification.
• Experience leading analytics initiatives or contributing to analytics/reporting teams supporting major infrastructure programs.
• Experience supporting project controls, cost management, scheduling, risk management, or PMO functions.
• Experience developing Kanban-style, Agile, or workflow visualization dashboards.
• Experience with PMIS, Oracle, Primavera P6, enterprise reporting platforms, or large-scale business intelligence environments.
• Proficiency with desktop publishing software, Visio, and professional graphics software.