Data Scientist II – Asset Analytics and Transportation Modeling

Overview

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.

• Analyze large datasets to identify trends, patterns, and actionable insights.
• Build and validate predictive models using statistical and machine learning techniques.
• Collaborate with stakeholders to define problem statements and data requirements.
• Develop and maintain data pipelines and model deployment workflows.
• Conduct A/B testing and evaluate model performance.
• Mentor junior team members and contribute to knowledge sharing.
• Present findings to technical and non‑technical audiences.
• Perform other duties as assigned.

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

• 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.

Atlanta, GA;
Chicago, IL;
Cleveland, OH;
Minneapolis, MN;
New York, NY.

Visa sponsorship is not available for this position.

HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant’s resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity.

Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees.

• New York: $74,417.85 – $
• Ohio: $74,417.85 – $
• Minnesota: $78,138.74 – $
• Illinois: $81,859.63 – $
• Nationwide (overall): $74,417.85 – $

The approximate pay range provided is a good faith estimate of the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to the individual’s qualifications, experience, knowledge, skills, and abilities as well as the physical work location within the state.