Lead Modeler

Transurban; Tysons (VA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits package

16 weeks paid parental leave

Flexible working options

Learning and development opportunities

Health and well-being support

Parental leave (16 weeks)

Learning & Development

Wellbeing programs

Volunteer days

Job summary

A transportation solutions company is seeking a Lead Econometrics Modeler to create econometric and machine learning models for asset performance and pricing strategies. Ideal candidates have 5+ years of experience in statistical analysis and programming in R, Python, and SQL. The role involves collaboration across teams to deliver analytic tools that enhance management of infrastructure decisions. Flexible working options and a comprehensive benefits package are offered, including paid parental leave and personal development opportunities.

Qualifications

• 5+ years in statistical, econometric, and machine learning techniques.
• Knowledge of dynamic systems for pricing applications.
• Experience in transportation, logistics, or fintech preferred.

Responsibilities

• Develop and maintain econometric models for pricing strategies.
• Apply machine learning to analyze traffic behavior.
• Lead statistical analysis to inform business strategy.
• Support development of dynamic tolling and dynamic pricing initiatives by building predictive algorithms and evaluating pricing impacts.
• Contribute to toll rate modelling and pricing optimization to enhance customer value and revenue performance.
• Collaborate across teams to ensure timely delivery of fit-for-purpose models and analytical tools.
• Monitor and refine models based on market feedback and evolving business needs.

Skills

Statistical analysis

Machine learning techniques

Data manipulation

Programming in R

Programming in Python

SQL proficiency

Tools

Python

R

SQL

Job description

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:

• Develop and maintain econometric models to support asset performance, pricing strategies, and market analysis.
• Apply advanced analytics and machine learning to uncover trends in traffic and consumer behavior.
• Lead statistical analysis of corporate and market data to inform business decisions and strategy.
• Support the development of the Dynamic Tolling algorithm and dynamic pricing initiatives by building predictive algorithms and evaluating pricing impacts.
• Contribute to toll rate modelling and pricing optimization to enhance customer value and revenue performance.
• Collaborate across teams, when needed, to ensure timely delivery of fit-for-purpose models and analytical tools.
• Monitor and refine models based on market feedback and evolving business needs.

This role will suit someone with a curious mind and transferable skills and experiences, including:

• 5+ years and demonstrated experience in the development and application of statistical, econometric and machine learning techniques, for time series analysis and forecasting and pricing models (Experience building predictive or forecasting models including traffic, pricing, demand, revenue, or market behavior, is highly relevant).
• Knowledge in the principles of dynamic systems and system identification for applications to dynamic pricing.
• Experience in industries such as transportation, logistics, mobility, aviation, energy, utilities, or fintech pricing, preferred.
• Proficiency in programming languages, in particular R, Python and SQL.
• Well-developed numerical skills and demonstrated ability to manipulate large datasets accurately.
• Ability to independently research, present and convey information clearly and concisely.
• Commitment to high quality outputs, timely delivery, and customer satisfaction.

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:

• A competitive salary and comprehensive benefits package including medical, dental, life, STD and LTD insurance and retirement plan.
• A range of flexible working and leave options, including the option to purchase an additional six weeks of leave each year.
• 16 weeks paid parental leave (regardless of gender or carer status).
• Learning and development opportunities to support your career interests.
• Health and wellbeing support-access to Headspace, Ginger, wellness facilities, and more.
• Social activities, community give-back programs and paid volunteer days.

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.