Reporting Data Scientist
$140k - $210kAECOM
Job Description 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 located in Sacramento, CA. 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. Position 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. Minimum Qualifications BA/BS + 10 years of relevant experience or demonstrated equivalency of experience and/or education. Preferred Qualifications / Certifications / Licensures MBA. PMP. 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. Data analytics certifications such as Microsoft Power BI Data Analyst, Coursera, or 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 Power BI. 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. Salary & Location Location: Sacramento, CA (On‑Site). Compensation range: $140,000 to $210,000 per year. Employment Information This position does not offer sponsorship. Equal Opportunity Employer As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr AECOM
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AECOM is looking for a Data Scientist in Sacramento, CA who will develop advanced analytics and predictive models for enterprise decision-making. The position entails improving data quality and reporting workflows while collaborating with various departments. Preferred...
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