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The City of New York's Department of Transportation (DOT) seeks a visionary Data Scientist for its Bike Share & Shared Mobility unit. You will translate Citi Bike and micro-mobility data into actionable insights to inform planning and daily operations, at a moment of program expansion and renewal.
Reporting to the Director of Data Science, you will build predictive models, create dashboards in Power BI, and craft concise narratives for senior leaders to guide policy and investment decisions.
The New York City Department of Transportation (DOT) provides for the safe, efficient, and environmentally responsible movement of people and goods in the City of New York and maintains and enhances the transportation infrastructure crucial to the economic vitality and quality of life of City residents. DOT is an equal opportunity employer, committed to recruiting and maintaining a diverse workforce in an open and inclusive environment.
This candidate will serve as a Data Scientist in NYC DOT’s Bike Share & Shared Mobility unit, which is responsible for planning and oversight of the Citi Bike program and other shared micro mobility services in New York City. Citi Bike is a public transportation service and a public-private partnership that is among the largest and most successful bike share systems in the world. The program is in the midst of a five-year expansion that will ultimately double the size of its previous service area and put more than 40,000 bicycles within a five-minute walk of half of NYC residents. Other shared micro‑mobility services in NYC include dockless e‑scooter and e‑moped shares.
We are seeking a visionary and analytical Data Scientist to join our team at a historic turning point as the original Bike Share Program Agreement nears its end in 2029 and the City prepares to reimagine the future of the bike share program. The position will serve as a core technical architect for what comes next. Beyond day‑to‑day system analytics, the position will research cutting‑edge technology, evaluate back‑end architecture, and craft technical requirements to support the future of bike share in NYC.
The position plays a pivotal role in shaping how we understand, monitor, and optimize our shared mobility systems. This individual will combine data science, advanced visualization, and strategic storytelling to translate complex data from Citi Bike and Shared E‑Scooter programs into actionable insights that inform planning and day‑to‑day operations. The ideal candidate thrives at the intersection of analytics and communication - able to uncover patterns, craft compelling narratives, and partner with internal team members at all levels to drive informed decision‑making.
Reporting to the Director of Data Science, the Data Scientist will be responsible for, but not limited to:
To be appointed to Assignment Level II and above, candidates must have:
Appointments to this position are subject to a minimum probationary period of one year.
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education’s website at https://studentaid.gov/pslf/.
New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.
, $87,743.00 – $110,120.00