Staff Data Scientist
Via Transportation, Inc.
About the role
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.
Responsibilities
- Apply quantitative and statistical methods to support business model development and product innovation.
- Develop Bayesian models and stochastic simulations to analyze user behavior and system performance.
- Manage analytical projects from data preparation and model development through validation and deployment.
- Develop proof-of-concept applications to demonstrate and operationalize modeling results.
- Prepare and present reports on methodologies, progress, and findings to stakeholders.
Qualifications
- Master’s degree or higher in Data Science, Computer Science, Systems Engineering, or a closely related quantitative field.
- At least two projects using Bayesian inference, stochastic modeling, or both, in academic or professional settings.
- Demonstrated ability to develop high-quality functional or object-oriented code, including approximately 10,000 lines in Python, R, or another analytics programming language.
Skills mentioned
About Via Transportation, Inc.
Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners in 30+ countries, Via is recognized as the leading transportation technology and service provider for governments. Via’s platform has pioneered microtransit — a new mode of mass transit — and today offers a comprehensive, end-to-end public transit solution that helps our customers design, operate, and optimize their transit systems using software, services, and billions of proprietary real-world trip data points. The result: lower costs, equitable access, and better passenger experiences.
H-1B sponsorship history
Historical employer filing data was found for Via Transportation, Inc.. The employer record includes 66 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.