Principal Data Scientist, Advanced ML & Optimization

Via Transportation-posted 4 months ago
$125,000 - $165,000/Yr
Full-time • Senior
New York, NY
501-1,000 employees
Rental and Leasing Services
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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 - Advanced ML and Optimization, you'll utilize advanced quantitative & statistical techniques to drive business model and product innovation for Via.

  • Use optimization theory and/or reinforcement learning and/or graph-based methods to improve transportation networks.
  • Own projects end-to-end, including data querying and cleaning, model/algorithm development, model/algorithm deployment, and, when necessary, building proof-of-concept web apps that leverage your models/algorithms.
  • Hone your presentation and communication skills by giving regular reports on your progress and findings.
  • 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 optimization, reinforcement learning, and/or graph-based methods 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.
  • Prior experience with SQL is a plus.
  • Prior experience with graph-neural networks 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.
  • 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
  • We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching.
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