Principal Data Scientist, Stochastic Modeling

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.  

What You’ll Do:

• 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.

Who You Are:

• Have a Master’s or PhD degree from a top-tier university in neuroscience, physics, biology, math, economics, computer science, operations research, or other highly quantitative field, and a record of exceptional academic achievement.
• Have worked in a full-stack setting (from data to proof-of-concept application), or are eager to gain this skillset.
• Are hungry for knowledge. You enjoy reading and understanding recent scientific publications, and often build toy implementations of novel techniques to see how they function.
• Have completed 2+ projects that utilized Bayesian inference, stochastic modeling, or both, in either an academic or industry environment.
• Have written at least 10,000 lines of high-quality functional or object-oriented code in Python or other language suitable for data analytics.
• Are a natural relationship builder that values camaraderie, comes with a sense of humor, and doesn't take themselves too seriously.
• Can think on your feet and are curious, coachable, and self-motivated. 
• Are an extraordinary communicator with demonstrated writing, editing and visualization skills

What Catches Our Eye:

• Prior experience with SQL is a plus.
• Authorship of one or more high-impact publications is a plus.
• Prior role at a startup, or successful completion of a Postdoc, or experience working in another fast-paced environment is a plus.

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.