Data Scientist, RIS

The Transportation Planning and Management Division (TPM) is responsible for the safe efficient and environmentally responsible movement of people and goods on the Citys streets supporting the larger goals of economic and social vitality for people living working and doing business in New York City. The Divisions responsibilities include planning street design technical analysis signs transit development freight mobility and markings ensuring the safety of motor vehicle occupants pedestrians and cyclists. The Research Implementation and Safety unit (RIS) is a multi-disciplinary team dedicated to making the streets of New York City safer for all users as part of Vision Zero a citywide policy striving to eliminate serious injuries and fatalities from traffic crashes.

NYC DOT seeks to hire a Data Scientist to join the Data Operations Systems and Analytics (DOSA) team within RIS. The team is made up of data specialists that ensure accuracy and efficiency for data analytics data products and insights that the agency relies on to accomplish its data-driven mission. The successful candidate will develop data management systems produce data products for operational units analyze data and help develop research studies to inform policy for the Citys Vision Zero initiative and the Bus Action Plan.

Reporting to the Director of Data Operations Systems and Analytics the Data Scientist will be responsible for tasks including but not limited to:

Data Analytics and Research:
-Planning and performing research and analysis studies related to transportation safety efforts that will inform current and future policy planning and programs.
-Providing analysis and data products for senior staff to inform Vision Zero and Bus Priority policy planning and implementation.
-Collaborate with and supervise other staff in conducting research and presenting data outputs to technical and non-technical audiences.

Data Management and Analysis:
-Conducting data mining and analysis exercises and maintaining vital databases
-Build predictive machine learning models
-Performing ad-hoc data analysis
-Contributing to ongoing data analysis efforts for tracking prioritizing and evaluating agency initiatives
-Developing new data products to address evolving operational needs and support data-driven decision-making across the agency
-Support NYCDOT with evolving data management and analysis needs related to the Bus Action Plan

The Department of Transportations (DOT) mission is to provide for the safe efficient and environmentally responsible movement of people and goods in the City of New York and to maintain and enhance the transportation infrastructure crucial to the economic vitality and quality of life of our primary customers City residents.

Preferred Skills
The preferred candidate is well-organized and self-directed with excellent analytical and communication skills.
The candidate should have: A background or demonstrable interest in planning and policy to advance safer sustainable urban development.
Demonstrated expertise in conducting research/investigations on specific problems by manipulating large datasets with the use of SQL GIS and Python and/or other languages. Demonstrated experience and interest in advancing technical knowledge base in order to elevate research approach.
Experience in creating well-crafted analyses and visualizations. Proven track record of conducting quantitative and/or geospatial research.

Work Location:
55 Water Street New York NY 10041

Hours/Shift:
35 hours / 9:00 am to 5:00 pm

Additional Information
This position may be eligible for remote work up to 2 days per week pursuant to the Remote Work Pilot Program agreed to between the City and DC37.
For information on NYC Civil Service please visit

To Apply
All resumes are to be submitted electronically using one of the following methods:
External applicants go to and search for Job ID # 785174
Current city employees log into Employee Self Service at and follow the Careers link and search for Job ID # 785174
No phone calls faxes or personal inquiries permitted.
Only those applicants under consideration will be contacted.
Most public libraries have computers available for use.
Note: New hires must reside in NYC for the first two years of employment. Appointments are subject to OMB approval.
For more information about DOT visit us at: RESEARCH SCIENTIST - 21744

Qualifications :

1. For Assignment Level I (only physical biological and environmental sciences and public health) A masters degree from an accredited college or university with a specialization in an appropriate field of physical biological or environmental science or in public health.
To be appointed to Assignment Level II and above candidates must have:
1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical biological environmental or social science and one year of full-time experience in a responsible supervisory administrative or research capacity in the appropriate field of specialization; or
2. A masters degree from an accredited college or university with specialization in an appropriate field of physical biological environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
3. Education and/or experience which is equivalent to 1 or 2 above. However all candidates must have at least a masters degree in an appropriate field of specialization and at least two years of experience described in 2 above. Two years as a City Research Scientist Level I can be substituted for the experience required in 1 and 2 above.

NOTE:
Probationary Period
Appointments to this position are subject to a minimum probationary period of one year.

Additional Information :

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 individuals sex race color ethnicity national origin age religion disability sexual orientation veteran status gender identity or pregnancy.

Remote Work :

No

Employment Type :

Full-time