Entry-Level Transportation Safety Data Scientist (Hybrid)

Vanasse Hangen Brustlin Inc.; Washington (District of Columbia); Hybrid; USD 85,000 - 95,000; Full time

Benefits offered by this job

Hybrid work environment

Total rewards package

401(k) plan

Medical, dental, vision insurance

Tuition reimbursement

Job summary

Vanasse Hangen Brustlin Inc. is seeking an Entry Level Transportation Safety Analyst to join our Metro DC or North Carolina teams. You’ll analyze crash and mobility data, apply regression and ML methods, and develop clear visualizations for clients and stakeholders.

The role emphasizes data preparation, modeling, and reporting, with opportunities to grow through mentorship and professional development in a collaborative, hybrid work environment.

Qualifications

• 0-2 years of experience with advanced analytics.
• Master's degree in a quantitative field or equivalent experience.

Responsibilities

• Mine and analyze structured and unstructured data to identify patterns, trends, and risk factors.
• Apply statistical and machine-learning methods to transportation safety and planning problems.
• Document methods, assumptions, and results to support review and reproducibility.
• Prepare and distribute analytical findings with effective visualizations, reports, and presentations.
• Collaborate with the manager and senior data scientists on analytical methods and interpretation.

Skills

Statistical modeling

Python

R

SQL

Tableau

Power BI

Machine learning

Data visualization

Excel

Analytical skills

Communication

Education

Master's degree

Data science

Statistics

Tools

Pandas

NumPy

SciPy

tidyverse

Tableau

Power BI

Job description

Vanasse Hangen Brustlin Inc. is seeking an Entry Level Transportation Safety Analyst to join our Metro DC or North Carolina teams. You’ll analyze crash and mobility data, apply regression and ML methods, and develop clear visualizations for clients and stakeholders.

The role emphasizes data preparation, modeling, and reporting, with opportunities to grow through mentorship and professional development in a collaborative, hybrid work environment.