Transportation Data Scientist

HNTB; Downers Grove (IL); On-site; USD 81,859 - 122,789; Full time

Job summary

HNTB, a leading firm in digital transformation solutions, seeks a data scientist to analyze large datasets, build predictive models, and deploy data pipelines. You will collaborate with stakeholders to define data needs, conduct A/B testing, and mentor junior team members.

You will work in a hybrid environment in Downers Grove, IL, applying advanced statistical and ML techniques to deliver insights for senior leadership and clients across complex infrastructure projects.

Qualifications

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

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.

Skills

Python

R

SQL

Education

Bachelor's degree in data science, statistics, computer science, computer engineering, or information systems

Master’s degree in data science, statistics, computer science, computer engineering, or information systems

6 years of relevant experience in lieu of education

Tools

Databricks

Microsoft Fabric

Azure Synapse

Snowflake

Power BI

Tableau

Job description

What We’re Looking For

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 and transportation projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners.

In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of Big Data, data sciences, Machine Learning (ML), and Artificial Intelligence (AI). Our clients deal with massive amounts of structured and unstructured data which opens up new opportunities for you to apply your analytical skills to respond to complex questions and needs by digging into their data‑rich environments to find the pieces of their information puzzle. You’ll explore data from various sources, discover patterns and previously hidden insights to address business problems, develop compelling data visualizations, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions.

The HNTB Digital Transformation Solutions (DTS) team is responsible for developing advanced analytics products, applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, working closely with a team of subject matter experts, and from performing analyses and using a wide range of statistical, machine learning, artificial intelligence and applied mathematical techniques to deliver insights to decision‑makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision‑makers that consume insights.

What You’ll Do

• 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.

What You’ll Need

• 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 year of relevant experience, or
• In lieu of education, 6 years of relevant experience

What You’ll Bring

• Experience with programming languages such as Python, R or SQL.
• Experience with data analytics platforms such as Databricks, Microsoft Fabric, Azure Synapse, Snowflake, or similar tools
• Experience visualizing/presenting data for stakeholders using: Power BI, Tableau or similar tools.

What We Prefer

• 6+ years of experience as a data scientist or data engineer utilizing languages such as Python, R, SQL, Scala, and Java
• Experience working in a consulting environment
• Previous Transportation Industry experience
• Hybrid work environment experienceAbility to travel

Additional Information

Benefits information: HNTB Total Rewards

Visa sponsorship is not available for this position.

Locations

Downers Grove, IL

The approximate pay range for Illinois is $81,859.63 - $122,789.44. Please note that the pay range provided is a good faith estimate for 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 physical work location within the state.

The approximate nationwide pay range for this position is $74,417.85 - $139,533.46. Please note that the pay range provided is a good faith estimate for 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 physical work location within the state.

Equal Opportunity Employer/Disability/Veteran