Data Scientist

• Legal Entity: AECOM Technical Services Inc
• Business Line: B&P
  - Buildings & Places
• Work Location Model:
  Hybrid
• Primary
  
  Location:
  
  US
  - Chicago, IL - 130 East Randolph
• Compensation: USD 97490 - USD 137825 - yearly

Work with Us. Change the World.

At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world's most complex challenges and build legacies for future generations.

There has never been a better time to be h accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of nearly 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.

We're one global team driven by our common purpose to deliver a better world. Join us.

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

• 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 and3 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.

Position requires experience in the following:

• Data analysis, statistical modeling, and machine learning techniques, including regression,…