Senior Data Scientist – Routing Algorithm

Revel

  • Full Time

About Revel

Revel's mission is to accelerate EV adoption in cities by providing the infrastructure and services that make it easy to go electric. Through the Revel app, users can rent electric mopeds, take rideshare rides in fully electric cars and find fast-charging stations compatible with any brand of EV. Revel prides itself on its total rejection of the gig economy and its collaborative approach with local governments. Founded in Brooklyn, NY in 2018, Revel currently operates in New York City, Washington D.C., San Francisco and Miami.

Our Operating Principles

Revel’s Operating Principles represent who we are, how we act, and what we believe. They define our culture. 

Empathy. We seek to understand the experiences and perspectives of each other, our customers and the communities where we operate. 

Ownership. We are excited by big challenges and care deeply about our work. We empower and rely on each other and hold ourselves to a high standard.

Humility. We take our work seriously but not ourselves. We’re approachable, curious, and know we have a lot to learn. 

Adaptability. We expect change and quickly adjust our approach to reflect new information. We know success requires seeing opportunity in obstacles and relentlessly improving.

Simplicity. We clarify and prioritize what can be done now. We strive to keep things no more complicated than absolutely required.

 

About the Role: 

  • Lead the development of our Ride Assignment, Routing & Rebalancing algorithms
  • Improve the efficacy of our existing Dynamic Pricing Algorithm
  • Improve our capabilities around estimating travel times and offer wait times
  • Guide high level strategic decisions like Fleet and Zone expansion
  • Define and track key metrics to demonstrate the efficacy of our toolkit.

 

What you’ll need:

  • A Masters or PhD in fields like Operations Research, Data Science, Mathematics
  • 5+ years of experience building optimization algorithms in the Transportation/ Logistics space.
  • Knowledge of optimization techniques like Mixed Integer and Dynamic Programming
  • Knowledge of algorithms like Dijkstra, Tabu Search, Ant Colony etc.
  • Experience with writing production level code and working closely with Engineering teams
  • Experience with analyzing large spatial datasets
  • Proficiency in one of Python, Julia, C++ or Go
  • Proficiency with SQL
  • Experience with Snowflake, AWS, Kubernetes is a plus
  • Knowledge of clustering and classification ML models is a plus.

Under state law and company policy, you must be fully vaccinated by your start date for any in-person work. If you are not vaccinated, you may file for an exemption before your start date. Offer is contingent upon the results (approval/denial) of your exemption.

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