Via
Via·yesterday

Staff data scientist

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Location

remote, NY, United States

Salary

$116k – $175k/yr

Commitment

Full Time

Level

Junior (<2 years)

Required skills

Data ScienceBayesian InferenceStochastic ModelingPythonRStatistical MethodsQuantitative AnalysisData ExtractionData CleaningModel DevelopmentModel ValidationPredictive ModelingObject-oriented ProgrammingFunctional ProgrammingBusiness Model Development

Job Description

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.

Ready to join the team?

Apply now

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