Staff Data Scientist

Via - United States - original posting ->
Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
Data-Scientist, Quantitative-Scientist, Applied-Data-Scientist, Research-Data-Scientist
Tech
pythonremote-countrydatastaff
Source
himalayas
First observed
2026-11-02 16:47 UTC
Last seen
2026-11-02 16:47 UTC
Source claims posted
2026-11-02 16:42 UTC
Consecutive misses
1 of 10

What the posting says

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

Via is an equal opportunity employer.

Originally posted on Himalayas

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #1686131 2026-11-02 16:47 UTC
    Published
  2. o
    #1688755 2026-11-02 18:48 UTC
    Not seen
    Miss 1 in a row