Data Scientist at AECOM — Chicago, IL

AECOM Technical Services, Inc. is seeking a Data Scientist in Chicago, IL,

Job Details:

• Design, develop, and deploy AI/ML and advanced analytics solutions to address business, operational, and emerging technology challenges
• Build, validate, and optimize statistical, predictive, and machine learning models using techniques such as regression, classification, clustering, time-series analysis, and deep learning
• Develop and deliver end-to-end data solutions, including data ingestion, preparation, modeling, deployment, and insight generation
• Evaluate model performance, monitor data and model drift, and continuously improve accuracy, reliability, and scalability of analytical solutions
• Manage, analyze, and visualize complex datasets to support transportation systems, emerging technologies, and intelligent transportation solutions
• Research and assess current state-of-the-practice and emerging innovations in areas such as connected and automated vehicles, smart mobility, tolling technologies, ITS systems, GIS applications, and data-driven transportation systems
• Apply data management and systems engineering principles, frameworks, and best practices to ensure data quality, governance, security, and compliance
• Collaborate with data engineers and systems engineers to design scalable, reliable, and production-ready data pipelines and analytical platforms
• Transform analytical outputs into clear, actionable insights through dashboards, reports, visualizations, and presentations for technical and non-technical stakeholders
• Partner with internal teams and external agencies to define KPIs, performance metrics, and success criteria for data-driven initiatives
• Support systems engineering, planning, and design efforts for emerging technology and ITS projects, including connected and automated vehicle deployments and advanced transportation technologies
• Develop custom analytical and software tools, including conceptual designs, front-end interfaces, and back-end components
• Prepare technical documentation, reports, calculations, and visual aids for project deliverables and presentations
• Provide project meeting support and assist with coordination among agencies, stakeholders, and multidisciplinary teams
• Perform analytical, software, and systems engineering tasks using established techniques, procedures, and methodologies while exercising sound judgment in adapting solutions
• Telecommuting permitted up to 4 days per week

Candidates must have a Bachelor's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 3 years of experience as a Data Scientist, Data Analyst, or in a related occupation.

Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 1 year of experience as a Data Scientist, Data Analyst, or in a related occupation.

• Data analysis, statistical modeling, and machine learning techniques, including regression, classification, clustering, time-series, optimization
• Developing end-to-end data solutions including data ingestion, transformation, modeling, and insight delivery
• Microsoft Office suite, including Excel, Access, Word, PowerPoint, Teams, and SharePoint
• Programming languages, including Python, R, SQL, C++, and JavaScript
• Designing, deploying, and monitoring AI and ML models in production environments
• Cloud platforms, including AWS, Azure, GCP
• Cloud-based analytics and ML tools, including Azure
• MLOps practices, Docker containerization, and CI and CD pipelines
• Business intelligence and visualization tools, including Power BI, Tableau, and Looker

About AECOM

What makes AECOM a great place to work