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About the Role
The Data Scientist will manage data pipelines, enhance data governance, and bridge the gap between modern cloud-based solutions and legacy systems. This role involves building and maintaining data and technologies for projects related to traffic congestion, fare regulation, driver pay, vehicle electrification, and charging infrastructure.
Responsibilities
- 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.
- 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.
- Monitor data quality and completeness of data.
- Maintain documentation of projects and data dictionaries.
- Suggest changes and improvements to our database and aggregate tables.
Requirements
- 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.
- 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.
- 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.
- Education and/or experience which is equivalent to a Master's degree with specialization in an appropriate field and one year of supervisory/administrative/research experience, or a Master's degree with three years of research experience.
- All candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience.
- Two years as a City Research Scientist Level I can be substituted for the experience required.
Location
- New York, NY
Work Type
- Full-time
Experience Level
- Entry level
- Mid level
- Senior level
Education Level
- Master's Degree
- Doctorate Degree
Salary/Compensations
- $80,000 to $90,000
- USD 87743 - USD 88000
About the Company
- The New York City Taxi and Limousine Commission (TLC) is the City agency responsible for regulating for-hire transportation in New York City, including taxis, street hail liveries, high-volume for-hire services such as Uber and Lyft, black cars, luxury limousines, livery vehicles, commuter vans, and paratransit vehicles.
- The TLC oversees a transportation ecosystem that moves nearly 1 million riders every single day the equivalent of the entire Boston transit system.
- TLC is entering a new era of dignity, accountability, and collaboration across the for hire vehicle sector.
- TLC continues to be on the front lines of a rapidly changing mobility landscape and our innovative efforts--whether requiring minimum pay for app drivers, ensuring wheelchair accessible service, making our licensed fleet more environmentally sustainable, working to eliminate traffic fatalities, or preventing discriminatory service--often serve as a model for other cities.
- In this New Era for TLC, the agency is guided by three core priorities: Driver and Passenger Dignity, Corporate Accountability, and A Transportation System that Works Together.
Equal Opportunity
- 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.