Data Scientist, Bayesian Inference/Stochastic Modeling
New York City
Applications have closed
Via
Via transforms transportation systems into highly efficient digital networks. Our flexible, end-to-end platform powers mobility for modern communities.As a Data Scientist, Bayesian Inference/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.
- Gain an understanding of entity-relationship models, and help organize data at Via.
- 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 statistics, physics, biology, math, computer science, operations research, or other highly quantitative field, and a record of exceptional academic achievement.
- 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.
- 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.
We’re Via, and we build technology that changes the way the world moves. We pioneered the TransitTech category to ensure that the future of transportation is shared, dynamic public mobility — the kind that reduces carbon emissions across congested cities, minimizes reliance on private cars, and provides everyone with accessible, efficient, and affordable ways of getting around.
With the addition of Remix into our portfolio, we created the first end-to-end TransitTech solution for cities and transit agencies, offering world-class software, service design, and operational expertise to fundamentally improve the way the world moves.
We’re committed to building and nurturing a team as diverse as the communities we serve. Bringing transportation equity to the world begins with championing equal opportunity in our own offices. All backgrounds, identities, and voices are welcomed and celebrated here.
Ready to join the ride?
Via is an equal opportunity employer.
Tags: Bayesian Biology Computer Science PhD Physics Postdoc Python Research SQL Statistics
Perks/benefits: Startup environment
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