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Salary
$85k – $95k per year
Location
Hybrid (Washington, United States)
Seniority
Junior

Confirmed on the employer's own hiring board on Sep 30, 2026. First seen by Alion on Sep 29, 2026.

Overview
Company
Impact
Profile match

VHB

VHB is a US engineering, planning and environmental consulting firm, based in Watertown, Massachusetts, near Boston, providing transportation planning and engineering, land development, environmental planning and design, site remediation and energy services. Founded in 1979 as Vanasse Hangen Brustlin, it serves transportation agencies, real estate developers, institutions, energy companies and governments from offices along the East Coast, including Providence, Richmond and Tampa. Its board recruits roadway, traffic, transit and rail, civil, water resources and structural engineers, environmental and GIS project managers, safety analysts and many summer interns and entry-level graduates.

Overview

ABOUT THE POSITION

Together, we work to improve mobility, enhance communities and economic vitality, and balance development and infrastructure needs with environmental stewardship. The right candidate would be joining a tight-knit team of transportation planners and traffic safety engineers who value technical excellence, career development, pride in our work, a collaborative team environment, and a passion for finding the right solutions that enhance mobility and safety.

At VHB, we’re invested in what we do, compelled by intellectual curiosity, and driven to work collectively to best serve our clients and help shape the future of our communities in a meaningful way. We’re proud, yet humbled, to have been doing this for over 40 years. We are dedicated to making a positive impact and providing opportunities to grow personally and professionally.

This position is for a Data Scientist (Transportation Safety) to join our team in VHB’s Metro DC or North Carolina offices. The selected candidate will support a wide range of data-driven transportation safety, planning, and research projects for the state departments of transportation, federal agencies, and local governments. The position will involve working with large datasets, conducting statistical analysis, developing visualizations, and supporting research and technical documentation. The ideal candidate is interested in transportation safety, statistical modeling, data science, and emerging analytical methods. This position provides an opportunity to work on real-world projects involving roadway safety analysis, vulnerable road user analysis, systemic safety screening, behavioral analysis, and data visualization.

Applicants must be legally authorized to work for VHB in the U.S. without employer sponsorship.

Responsibilities

  • Mine and analyze structured and unstructured data, including crash records, roadway inventories, demographic data, surveys, and geospatial datasets, to identify patterns, trends, and risk factors.
  • Apply statistical and machine-learning methods, including regression, classification, clustering, and forecasting, to transportation safety and planning problems.
  • Evaluate model fit and predictive performance and assess uncertainty, sensitivity, potential bias, and limitations using appropriate validation techniques. Document methods, assumptions, and results to support review and reproducibility.
  • Identify and recommend new applications for existing data sources and opportunities to collect or integrate additional data.
  • Extract data from databases, application programming interfaces, spreadsheets, text files, and other systems. Clean, link, transform, and quality-check data from multiple sources.
  • Use Python, R, SQL, and related tools to automate data preparation, analysis, model execution, validation, and reporting. Develop reusable code and maintain clear technical documentation.
  • Apply transportation safety methods, including crash prediction, Safety Performance Function development, before-and-after evaluation, systemic safety screening, risk scoring, and prioritization.
  • Prepare and distribute analytical findings. Communicate methods, results, and practical implications to project teams, clients, management, and other technical and nontechnical audiences through effective visualizations, reports, and presentations.
  • Work closely with the manager and more experienced data scientists to receive direction and guidance throughout projects, including guidance on analytical methods, missing data, model selection, and interpretation of results.
  • Participate in professional development activities aligned with career goals and project needs.
  • Perform all job functions in compliance with applicable federal, state, and local regulations and VHB policies and procedures.

Skills and Attributes

  • Fundamental knowledge of statistical modeling, quantitative methods, machine learning, data mining, simulation, and advanced mathematics.
  • Experience applying quantitative methods to real-world problems through academic research, internships, or professional work.
  • Experience using many of the following technologies: Python (Pandas, NumPy, SciPy), R (tidyverse), SQL, Tableau, Power BI, advanced Microsoft Excel, machine learning, statistical analysis.
  • Ability to identify information needs, conduct research, and evaluate the quality and suitability of data sources.
  • Excellent intrinsic problem-solving, analytical, and mathematical skills.
  • Ability to work effectively in ambiguous and technically challenging environments.
  • Proficient with Microsoft Office Suite.
  • Excellent verbal, written, and interpersonal communication skills.
  • Team-oriented with the ability to perform multiple tasks independently in a timely manner and collaborate effectively and positively with coworkers.
  • Self-motivated, highly organized, and detail-oriented.

Qualifications

  • 0-2 years of experience with advanced analytics in either an academic or professional setting
  • Master’s degree in Transportation Engineering, Data Science, Statistics, Mathematics, or equivalent discipline; or equivalent experience

The full-time annual base salary range for this position in Washington, DC and North Carolina is $85,000 - $95,000. The base salary offered will be determined based on job-related factors, including geographic location, internal equity, experience, credentials, skills, education, work schedule, and other factors permitted by law. The posted salary range reflects base pay only. Additional compensation and benefits available to eligible employees are outlined in our Total Rewards Program.

Annual base salary is one component of VHB’s Total Rewards package. In addition to base pay, eligible employees may receive annual incentive compensation bonuses, spot bonuses, and merit-based salary increases, providing opportunities to increase earnings beyond base pay. VHB also offers a differentiating work experience, including a comprehensive benefits package that includes eligibility to participate in the VHB 401(k) plan, medical, dental, vision, life, and disability insurance, wellness programs, tuition reimbursement, and recognition programs.

Details on VHB’s benefits package can be found here: Benefits Checklist

Building what’s next, together.

Our people make the difference. We foster a technology-empowered, people-driven, future-ready culture where agility, innovation, and collaboration shape how we work every day.

When you join VHB, you’ll find:

  • Meaningful work on complex projects with real community impact
  • A collaborative, inclusive culture that values curiosity and shared success
  • Support to grow your skills and lead through change
  • Learning and development supported by evolving tools and technologies, including AI
  • Best-in-class benefits and a flexible, hybrid work environment

We’re growing across the East Coast and are consistently recognized as a great place to work. Ready to shape what’s next? Learn more about what sets our employee experience apart and connect with us.

VHB is a proud Equal Opportunity Employer. Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported by deep-rooted core values, one of which is diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by law.

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