Data Scientist
Many of the world’s top engineers and scientists come together in our Water business because they view a community’s interaction with water a bit differently—as a single holistic system, rather than unconnected networks divided by jurisdictional boundaries. Working throughout the hydrologic cycle, we are delivering sustainable solutions to make sure water is where it should be and available when needed. Our experts guide our work with scientific rigor, an innovative spirit, and a vision for growth. Every day, we help communities improve, reuse, and protect this precious resource for future generations. By 2025 we’re hiring 2,000 people (like you) to join our team. Grow with us, H2O+U.
Your Opportunity
We have an exciting opportunity for a Data Scientist with extensive experience in mobility, public transit optimization, human behavior modeling, and geospatial data analysis. You will collaborate with clients and cross-functional teams to develop solutions that leverage data to drive operational efficiency, sustainability, and strategic decision-making. The ideal candidate is a Ph.D.-level expert with hands-on experience in machine learning, data modeling, and advanced simulation tools, capable of working in a dynamic, multi-disciplinary environment.
Your Key Responsibilities
- Apply machine learning (ML) and deep learning (DL) techniques, including Python and R, to analyze complex data sets for mobility, public transit, and infrastructure planning.
- Lead data-driven projects involving geospatial analysis, human behavior modeling, traffic simulations, and environmental impact assessments.
- Collaborate with software developers, urban planners, and engineers to design and implement distributed databases for real-time data tracking.
- Utilize cloud-based parallel computing platforms in Linux environments to process large data sets and develop scalable solutions.
- Support clients in industries such as electric vehicles (EV), ride-hailing services, and renewable energy infrastructure by creating predictive models for strategic and operational improvements.
- Present findings and solutions to stakeholders, translating complex technical data into understandable insights.
- Provide mentorship to junior data scientists and contribute to research efforts by publishing in top-tier journals.
Your Capabilities and Credentials
- Ph.D. in Civil Engineering, Transportation Engineering, or a related field with 8+ years of hands-on experience in data science, mobility, and transportation sectors.
- Expertise in behavior choice modeling, factor analysis, and causal inference for transportation and mobility planning.
- Proficiency in Python, R, and geospatial tools (GPS, GIS), with experience in AIMSUN, VISSIM, and EMME for multi-scope traffic simulation and scenario assessments.
- Proven ability to apply machine learning techniques, such as RCNN, latent logit models, and Bayesian networks, in operational and strategic contexts.
- Excellent communication skills, with a track record of technical reporting, presenting at conferences (e.g., TRB), and writing for top-tier journals.
- Experience in managing cross-functional teams and client relationships, ensuring successful project outcomes.
- Strong analytical skills, with the ability to work independently in a fast-paced, deadline-driven environment.
Education & Experience
- Ph.D. in Civil Engineering, Transportation Engineering, or a related field.
- Experience in public transit planning, traffic engineering, geospatial data analysis, and cloud computing.
- Hands-on experience with real-time data tracking, database management, and multi-modal transportation analysis.
This description is not a comprehensive listing of activities, duties or responsibilities that may be required of the employee and other duties, responsibilities and activities may be assigned or may be changed at any time with or without notice.
Stantec is a place where the best and brightest come to build on each other’s talents, do exciting work, and make an impact on the world around us. Join us and redefine your personal best.