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AI Public Transit Ridership Forecasting Engineer

Samuel Pham

Freelance · Job · New_York

About the role

Transit agencies plan service schedules around ridership numbers that are often three months stale by the time they're acted on. That lag costs riders real wait times. This freelance engagement builds a forecasting model that predicts route-level ridership a week ahead using fare card, weather, and event data, feeding directly into agency scheduling tools we already ship. It's a scoped six-month freelance project with clear deliverables and milestone-based payment.

Responsibilities

  • Build ridership forecasting models using historical and real-time transit data
  • Own model validation against actual weekly ridership outcomes
  • Deliver dashboards agency planners can use without a data background
  • Document methodology for internal handoff at project close

Requirements

  • 4+ years of applied forecasting or time-series modeling experience
  • Strong SQL and Python for civic or transit datasets
  • Comfortable working independently on a scoped freelance engagement
  • Public sector or transit domain experience a plus

Benefits

  • Fully remote freelance engagement
  • Competitive milestone-based compensation
  • Meaningful public-interest impact
  • Potential for renewal after initial scope

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Categories

data science & analytics AI Product & Strategy

Skills

python sql pandas statistics tableau

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Job Type

Freelance

Level

Mid-Level

Language

English

Salary Range

$80k – $100k / year

AI Expertise

data science & analytics AI Product & Strategy

Skills

python sql pandas statistics tableau

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