Data Scientist II – Asset Analytics and Transportation Modeling

HNTB Corporation•Chicago, IL

About The Position

At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners. This opportunity entails being responsible for designing and implementing data science solutions that address business challenges. You will collaborate with stakeholders to define analytical goals, build predictive models, and deploy scalable solutions using modern data science tools and techniques. The role includes mentoring junior team members, optimizing data workflows, and integrating advanced technologies such as cloud computing, AI/ML, and real-time analytics into business processes. This role builds on foundational skills and introduces broader responsibilities in technical execution, problem-solving, and team collaboration.

Requirements

Bachelor’s degree in data science, statistics, computer science, computer engineering, or information systems and 2 years of relevant experience, or Master’s degree in data science, statistics, computer science, computer engineering, or information systems and 1 years of relevant experience, or In lieu of education, 6 years of relevant experience

Nice To Haves

Experience applying data science to infrastructure/transportation use cases such as asset analytics, deterioration modeling, resilience, or risk assessment.
Experience with statistical modeling, regression , and travel behavior and survey data.
Proficiency with GIS, Python, R, SQL, or ETL pipelines and experience communicating results through ArcGIS, Power BI, Tableau, or similar tools.
Demonstrated experience with machine learning algorithms and applied model development (e.g., k-NN, Naive Bayes, SVM, Decision Forests, etc.).
Strong stakeholder communication skills and comfort translating analytical results into actionable guidance.
Master’s degree in data science, statistics, computer science, computer engineering, or information systems

Responsibilities

Analyzes large datasets to identify trends, patterns, and actionable insights.
Builds and validates predictive models using statistical and machine learning techniques.
Collaborates with stakeholders to define problem statements and data requirements.
Develops and maintains data pipelines and model deployment workflows.
Conducts A/B testing and evaluates model performance.
Mentors junior team members and contributes to knowledge sharing.
Presents findings to technical and non-technical audiences.
Performs other duties as assigned.