Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals.
As a Principal Data Scientist - Stochastic Modeling, you’ll utilize advanced quantitative & statistical techniques to drive business model and product innovation for Via.

COMPENSATION AND BENEFITS:

• Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable
• Salary Range: $125,000 - $165,000 per year
• We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching.
  We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive.
  Our teams of world class engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more.
  If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn’t align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities.
  Ready to join the ride?
  Via is an equal opportunity employer.

• Use Bayesian modeling and stochastic simulations to make inferences and predictions, for example about the behavior of drivers and riders in our deployments.
• Own projects end-to-end, including data querying and cleaning, model training, model deployment, and, when necessary, building proof-of-concept web apps that leverage your models.
• Hone your presentation and communication skills by giving regular reports on your progress and findings.