This position requires being onsite at our Tysons or Alexandria offices 3 days a week.
Working at Transurban is different; it's a place where you can see the benefits of your work play out in real life, every day. We create transportation solutions-building and operating safer, smarter, and more sustainable roads-to solve pressing transport challenges.
About the role :
We’re seeking a Lead Econometrics Modeler to develop Econometric and Machine Learning models for Transurban asset performance and pricing, and perform detailed data and statistical analysis to support activities within the business.
You’ll build models that influence real-world traveler behavior, infrastructure investment, and pricing strategies used by millions. You’ll join an innovative team, who provides traffic forecasting and related services to support the management of existing assets and the development of new project opportunities in all geographies.
As our Lead Econometrics Modeler, you’ll contribute to lasting and positive changes that shape the future of our cities and communities. It’s meaningful, challenging and exciting work.
Day-to-day, you will:
This role will suit someone with a curious mind and transferable skills and experiences, including:
If you meet some of these requirements, but not all, we encourage you to submit your application. We welcome candidates with backgrounds in econometrics, quantitative modeling, data science, pricing analytics, transportation forecasting, or related fields.
We are open to considering candidates who either reside in the DMV (DC, Maryland, Virginia) area, are within a reasonable commuting distance to Tysons Corner and Alexandria, VA and/or are willing to relocate at their own expense. Candidates who reside in the DMV area will be prioritized.
With a career at Transurban, you'll enjoy a range of benefits, including:
At Transurban, we are committed to equal employment opportunity and providing a work environment that is free from discriminatory practices. We will not discriminate against employees or applicants for employment on any legally recognized basis [“protected class”] including, but not limited to: race, religion, color, national origin, ancestry, citizenship or immigration status, sex, age, sexual orientation, gender identity or expression, disability, genetic information, marital status, pregnancy, childbirth or related medical conditions, veteran or military status (including status as a U.S. uniformed services member or reservist, or as a spouse, child, or qualifying dependent of a service member), or any other category protected by federal, state, or local law.
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