Senior Travel Demand Modeling/Forecasting Specialist

Join Fehr & Peers and help shape the future of transportation through innovative travel behavior analysis, forecasting, and Big Data. We are seeking an experienced Senior Travel Behavior & Demand Forecasting Specialist who is passionate about solving complex challenges and creating data‑driven transportation solutions for communities across the United States. At Fehr & Peers, you’ll work alongside travel behavior forecasting experts in a collaborative, entrepreneurial environment where creativity, technical excellence, and innovation are highly valued. Our team combines advanced travel demand modeling, statistical analysis, and Big Data to answer critical planning and policy questions. We partner with MPOs, municipalities, transit agencies, private and institutional developers, technology firms, and civil engineering companies to tackle some of the industry’s most complex transportation challenges, from special event planning and evacuation analysis to climate resilience and long‑range forecasting. Our work directly influences transportation investments and community outcomes nationwide. Successful candidates have experience developing and implementing travel demand, statistical, and data‑driven forecasting models to analyze multimodal transportation systems and emerging mobility trends. They are comfortable working with traditional modeling tools as well as Big Data platforms and methods, and enjoy exploring innovative approaches to improve forecasting accuracy and decision making. In this role, you will serve as a trusted technical advisor to project managers and clients alike. You’ll contribute expertise across a wide range of projects, lead key modeling and analytical tasks, and deliver tailored forecasting solutions that help communities plan for a rapidly evolving transportation future. Responsibilities Manage task delivery as the subject matter expert, overseeing staff, deliverables, budget, and schedule for modeling and forecasting tasks Think both critically and intuitively through the progression of projects to clearly understand the results and identify insights as to how they are important to the big picture in each unique project Develop high‑quality relationships with staff, clients, and modeling software vendors Mentor and grow the skills of modeling/forecasting staff through projects and trainings Conceptualize and deliver approaches to analyzing complex transportation planning or engineering problems dealing with all travel modes Apply knowledge of the theory, principles, and practices of transportation planning, travel demand forecasting, travel behavior analysis, and data analysis Maintain a highly functional understanding of transportation forecasting software programs, such as CUBE, Emme, TransCAD, and Visum, and skills to apply these programs on projects, train others, and contribute to companywide knowledge base Use statistical and data science software such as Python and R to collate, clean, and analyze large data sets Use a variety of other software programs to help visualize results for audiences at varying levels of technical complexity Participate in travel forecasting research through our Forecasting discipline group Prepare papers and presentations for technical conferences Support marketing efforts through preparation of scopes, cost proposals and participation in intelligence gathering activities Qualifications 7‑10+ years of professional work experience in travel demand modeling and travel behavior forecasting (CUBE and TransCAD strongly preferred) Direct experience with regional models is highly desirable (SCAG, SANDAG, OCTA, SACOG, MTC, WFRC) Master’s or bachelor’s degree in transportation, civil engineering, or related major Ability to communicate clearly and concisely, with strong writing, verbal, non‑verbal, and presentation skills Ability to delegate work, manage small teams and oversee budgets Experience with the development and application of four‑step travel demand models, tour‑based models, and activity‑based models including knowledge of basic statistical concepts and data analysis techniques Experience with big data for transportation analysis (Replica and StreetLight preferred) Comfort with working beyond the model: understanding limitations, applying the big picture, and generating innovative ideas Ability to translate the results of complex analysis to clients in appealing and intuitive ways Computer and database programming and scripting skills (Python, C++, R, VBA, Access, or similar) and proficiency with GIS Interest in experimenting with and deploying AI tools to expand the effectiveness, efficiency, and/or creativity of our travel modeling practice Benefits Medical, Dental, Vision, Life and Disability Insurance 401(k) Plan with matching and profit sharing Flexible Spending Accounts Commuter Benefits Paid Vacation, holidays and sick leave 8 weeks of Paid Parental Leave Mentoring and Career Development programs Research and Development group participation, and more Full information about the benefits we offer can be found on our careers page. EEO and Nondiscrimination Statement Fehr & Peers is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment in the workplace. We welcome applicants of diverse backgrounds, and hire without regard to race, color, creed, religion, sex, gender identity or expression, sexual orientation, marital or parental status, national origin, ancestry, citizenship, age, disability, genetic information, political affiliation, military service or any other characteristic protected by law. Fehr & Peers ensures nondiscrimination in all programs and activities in accordance with Title VI of the Civil Rights Act of 1964. If you need more information or special assistance for persons with disabilities or limited English proficiency, contact Human Resources. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Placement within the stated pay range will be determined based upon education, experience, and qualifications. #J-18808-Ljbffr