Data Scientist

AECOM•Chicago, IL

9d•$97,490 - $137,825•Hybrid

About The Position

AECOM Technical Services, Inc. is seeking a Data Scientist in Chicago, IL. This role involves designing, developing, and deploying AI/ML and advanced analytics solutions to tackle business, operational, and emerging technology challenges. The position requires building, validating, and optimizing statistical, predictive, and machine learning models using various techniques. The Data Scientist will develop end-to-end data solutions, including data ingestion, preparation, modeling, deployment, and insight generation. A key responsibility is evaluating model performance, monitoring data and model drift, and continuously improving the accuracy, reliability, and scalability of analytical solutions. The role also includes managing, analyzing, and visualizing complex datasets to support transportation systems, emerging technologies, and intelligent transportation solutions. Researching and assessing current practices and innovations in areas like connected and automated vehicles, smart mobility, and ITS systems is also part of the job. The Data Scientist will apply data management and systems engineering principles, collaborate with data engineers and systems engineers on data pipelines and platforms, and transform analytical outputs into actionable insights for various stakeholders. Partnering with internal teams and external agencies to define KPIs and success criteria, supporting systems engineering for emerging technology projects, and developing custom analytical and software tools are also expected. The role requires preparing technical documentation and providing project meeting support. Analytical, software, and systems engineering tasks will be performed using established techniques and methodologies.

Requirements

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, 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

Responsibilities

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