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Transportation, Logistics, SaaS, Urban Tech, Public Transit

Staff Data Scientist

RemoteRemoteFull TimeStaff$115,835–$175,000 /yrPosted 9 days agoVisa sponsorship available

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Required skills

  • Bayesian inference
  • stochastic modeling
  • Python
  • functional code
  • object-oriented code
  • 10,000 lines of code
  • quantitative methods
  • statistical methods
  • user behavior analysis
  • system performance analysis

Nice to have

  • Systems Engineering

Role summary

Via Transportation is seeking a Staff Data Scientist in New York City, with telecommuting permitted. The role involves applying advanced quantitative and statistical methods for business model development and product innovation. Responsibilities include developing and implementing Bayesian models and stochastic simulations, managing projects end-to-end from data preparation to deployment, and designing proof-of-concept applications. The position requires a Master’s degree or higher in a quantitative field and experience with Bayesian inference or stochastic modeling, along with demonstrated coding proficiency in Python, R, or similar languages.

Position: Staff Data Scientist, Via Transportation, Inc. (New York City, NY) - Telecommuting permitted

Duties: Apply advanced quantitative and statistical methods to support business model development and product innovation. Develop and implement Bayesian models and stochastic simulations to generate insights and predictions, including analyses of user behavior and system performance. Manage projects end-to-end, including data extraction, cleaning, and preparation; model development and validation; and deployment of analytical solutions. Design and develop proof-of-concept applications, as needed, to operationalize and demonstrate modeling results. Prepare and deliver regular reports and presentations summarizing methodologies, progress, and key findings to stakeholders.

Salary: $115,835 to $175,000

Requirements: Master’s degree or higher in Data Science, Computer Science, Systems Engineering, or a closely related quantitative field. Experience completing at least two (2) projects utilizing Bayesian inference, stochastic modeling, or a combination of both, gained in either academic or professional settings. Demonstrated experience developing high-quality functional or object-oriented code, evidenced by approximately 10,000 lines of code written in Python, R, or another programming language suitable for data analytics. Telecommuting permitted.

Contact: Sharon Lee, SVP, People Operations

Via Transportation, Inc.

114 5th Avenue, 17th Floor

New York, NY, 20022

(888) 501-7511

strategic-growth-us@ridewithvia.com

Via is an equal opportunity employer.

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