Reporting Data Scientist

AECOM•Sacramento, CA

1d•$140,000 - $210,000•Onsite

About The Position

Under the general direction of the Director of Project Controls, the Data Scientist supports enterprise‑level decision‑making by developing advanced analytics, predictive models, and automated reporting solutions. This position transforms complex program, project, and operational data into meaningful insights, enabling leadership, project teams, and stakeholders to make accurate, timely, and data‑driven decisions. The Data Scientist collaborates across functional areas—including cost, schedule, risk, and finance—to integrate data sources, improve data quality, enhance reporting workflows, and design visualization tools (e.g., Power BI dashboards) that communicate performance, trends, and risks clearly and effectively.

Requirements

Master’s degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or a closely related field.
Demonstrated experience producing data analytics, modeling, and reporting for senior‑level audiences.
Experience implementing data strategies, analytics workflows, and reporting processes in a large program or enterprise environment.
Experience managing or contributing to analytics/reporting teams on major programs.
Strong knowledge of data management, business intelligence, document control, project controls, and management reporting techniques.
Ability to coordinate with cross‑functional stakeholders and obtain accurate, timely data inputs.
Ability to develop and implement methodologies for analytics, reporting, dashboards, and visualization.

Nice To Haves

MBA
PMP
Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data Analytics)
Support Board‑level reporting needs in collaboration with the Finance Office.
Proficient in Visualization of Kanban boards and building dashboards for project controlling.
Proficient in desktop publishing software, Visio, and professional graphics software
Proficient with data analytics tools such as PowerBI.
Experience building Kanban‑style or Agile process visualizations.
Strong proficiency with data analysis, statistical tools, and modern programming languages (e.g., Python, R).
Excellent communication skills, including the ability to convey complex data clearly and tactfully to diverse audiences.

Responsibilities

Develop, maintain, and continuously improve program‑wide data models, analytics frameworks, and reporting workflows.
Build predictive and statistical models to forecast cost, schedule, risks, and performance metrics.
Create automated dashboards, visualizations, and analytical tools using Power BI and other platforms.
Conduct detailed data analysis to identify trends, anomalies, performance drivers, and optimization opportunities.
Partner with cost, schedule, and risk management leads to integrate data and produce unified analytical outputs for executive‑level decision‑making.
Support monthly and quarterly reporting cycles by preparing accurate, validated datasets and generating analytical insights.
Assess opportunities to automate manual reporting processes and streamline data flows.
Establish data quality standards and quality‑assurance procedures for program data.
Collaborate with project teams to gather, validate, and consolidate data from multiple systems and sources.
Present analytical findings, dashboards, and recommendations to Executive Management, program committees, and other stakeholders.