Data Scientist

NYC Taxi & Limousine Commission; New York (NY); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

2 days remote per week

Job summary

NYC Taxi & Limousine Commission seeks a Data Scientist to join the Data Analytics Unit within TLC’s Policy & Community Affairs Division. The role focuses on managing data pipelines, improving data governance, and integrating cloud-based solutions with legacy systems.

Reporting to the Director of Data Analytics, you will work on projects related to traffic congestion, fare regulation, driver pay, and electrification initiatives, collaborating with leadership and stakeholders across the agency.

Qualifications

• Master’s degree in an appropriate field of physical, biological, environmental science or public health.
• For Assignment Level II, a doctorate with 1 year supervisory/research experience; or a master's with 3 years of relevant research experience; or equivalent combinations with at least a master’s degree and two years of experience as City Research Scientist Level I.
• Two years as City Research Scientist Level I can substitute for some experience requirements.

Responsibilities

• Conduct statistical analysis and produce maintainable, reproducible code to inform policy.
• Manage complex data projects through iterative project cycles, policy and methodology research.
• Respond promptly to ad hoc requests and deliver accurate analysis.
• Collaborate with team members, present to senior staff and external stakeholders, and mentor others.

Education

Master's degree in physical, biological, environmental science or public health

Doctorate degree in physical, biological, environmental or social science with experience OR Master's with 3+ years research

Job description

• Please note that due to city requirements only applicants with a master’s degree and at least 3 years of related work experience will be considered. In addition, this position requires a US work authorization as no visa sponsorship is available. The position is eligible for 2 days per week remote work.

Job Description

• Please note that due to city requirements only applicants with a master’s degree and at least 3 years of related work experience will be considered. In addition, this position requires a US work authorization as no visa sponsorship is available. The position is eligible for 2 days per week remote work.

About TLC

The New York City Taxi and Limousine Commission regulates for-hire transportation across NYC taxis, high volume platforms like Uber and Lyft, black cars, commuter vans, and more. We license roughly 180,000 drivers and 116,000 vehicles that conduct nearly a million trips a day. Our work on driver pay standards, accessibility, and traffic safety has become a model for regulators in cities around the world.

About The Role

We are seeking a Data Scientist that will join the Data Analytics Unit, within TLC’s Policy & Community Affairs Division. As a Data Scientist, you will manage our data pipelines, enhance data governance, and bridge the gap between modern cloud-based solutions and legacy systems. Your work will involve building and maintaining the data and the technologies that are tied to our team’s ongoing projects such as traffic congestion, fare regulation, driver pay, vehicle electrification, and charging infrastructure.

Reporting to the Director of Data Analytics, the Data Scientist will perform the following tasks:

Data Analysis

• Conduct statistical analysis and produce maintainable and reproducible code to inform policy.
• Manage complex data projects through iterative project cycles, policy and methodology research.
• Respond promptly to ad hoc requests and deliver accurate analysis.

Communication and Collaboration

• Collaborate with other team members on projects to provide support and seek feedback on your own work.
• Present projects to senior staff and external stakeholders.
• Mentor other team members.
• Work with agency leadership from a variety of technical and non-technical backgrounds to produce quality data analysis.

Data Quality Management

• Monitor data quality and completeness of data.
• Maintain documentation of projects and data dictionaries.
• Suggest changes and improvements to our database and aggregate tables

Qualifications

• For Assignment Level I (only physical, biological and environmental sciences and public health) A master's 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:
  • 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
  • A master's 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
  • Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's 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.

Probationary Period

Appointments to this position are subject to a minimum probationary period of one year.

Work Location

New York, NY

CITY RESEARCH SCIENTIST - 21744

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 individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.