Data Scientist
- DEPARTMENT OF TRANSPORTATION
- Full-time
Location
MANHATTAN
- Exam may be required
Department
Franchise/Concessions/Consents
Job Description
This vacancy has now expired.
This candidate will serve as Data Analyst 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 dock less e-scooter share and e-moped share.
Under the direction of the Executive Director and senior unit staff, this candidate will perform research and analysis activities related to bike share and shared mobility that will inform current and future planning; conduct economic research and studies involving estimates and forecasts regarding transportation-share services; collect, classify, evaluate, and analyze data, develop predictive models to answer complex and nuanced questions about the programs and anticipate future needs and behavior of the systems; prepare reports and briefing materials based on databases that underlie the bike share and shared mobility systems; monitor vendor compliance with governmental regulations, DOT policies, and contract terms; establish and monitor best practices, policies, procedures and documentation around bike share and shared mobility data; plan, design, maintain, and support unit internal databases; communicate technical issues to technical and non-technical audiences; and perform related duties. Experience working with large datasets using SQL and proficiency in Python, which may include pandas and/or geopandas, is required.
1. A master's degree from an accredited college or university in economics, statistics, finance, management, business administration, public administration, public policy or related field; or
2. A baccalaureate degree from an accredited college or university, including or supplemented by 24 semester credits in one or more of the course areas of economics, statistics,
finance, management, mathematics, business administration, public administration, and public policy, 12 semester credits of which must have been in economics; and one year of satisfactory full-time experience in one or more of the
fields of finance; economic, fiscal or statistical research; policy analysis; or quantitative, business, market or financial analysis. Graduate semester credits in any of the areas described in "1" above may be substituted for the undergraduate
semester credits on the basis that each 3 graduate semester credits may be substituted for 6 of the required undergraduate semester credits.
Special Note
To be eligible for placement in Assignment Level II individuals must have, in addition to meeting the minimum requirements, at least one additional year of full-time experience listed in "2" above.
Special Note
To be eligible for placement in Assignment Level III individuals must have, in addition to meeting the minimum requirements, at least two additional years of full-time experience listed in "2" above.
Demonstrated experience producing clear and effective data visualizations is highly desirable, as is experience explaining complex, nuanced analyses to nontechnical and unacquainted audiences. Ability to relate complex trends in the data to larger policy issues is very important, as is being able to work with the operations and planning team to tailor data analysis and products to their needs. Familiarity with pyspark is desirable, as is experience with Power BI and/or JavaScript, including leaflet, or the folium package in Python. Preference will be given to candidates who have demonstrated experience or interest in transportation planning, logistics, bike share, micro mobility, cycling, and working with or in the public sector.
This position is also open to qualified persons with a disability who are eligible for the 55-a Program. Please indicate at the top of your resume and cover letter that you would like to be considered for the position through the 55-a Program.
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.
Job ID
559773
Title code
40910
Civil service title
ECONOMIST
Title classification
Competitive-1
Business title
Data Scientist
- Experienced (non-manager)
Job level
03
Number of positions
1
Work location
55 Water St Ny Ny
- Technology, Data & Innovation