Data Scientist

City of New York•New York, NY

20d•$87,743 - $88,000•Hybrid

About The Position

The New York City Taxi and Limousine Commission (TLC) is seeking a Data Scientist to join the Data Analytics Unit within the Policy & Community Affairs Division. This role involves managing data pipelines, enhancing data governance, and integrating modern cloud-based solutions with legacy systems. The Data Scientist will work on projects related to traffic congestion, fare regulation, driver pay, vehicle electrification, and charging infrastructure. The position reports to the Director of Data Analytics.

Requirements

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.
At least 3 years of related work experience.
US work authorization (no visa sponsorship available).
Experience in managing data pipelines.
Experience in enhancing data governance.
Experience bridging the gap between modern cloud-based solutions and legacy systems.
Experience building and maintaining data and technologies for projects such as traffic congestion, fare regulation, driver pay, vehicle electrification, and charging infrastructure.
Experience conducting statistical analysis.
Experience producing maintainable and reproducible code.
Experience managing complex data projects through iterative project cycles, policy and methodology research.
Experience responding promptly to ad hoc requests and delivering accurate analysis.
Experience collaborating with team members on projects.
Experience presenting projects to senior staff and external stakeholders.
Experience mentoring other team members.
Experience working with agency leadership from a variety of technical and non-technical backgrounds.
Experience monitoring data quality and completeness.
Experience maintaining documentation of projects and data dictionaries.
Experience suggesting changes and improvements to databases and aggregate tables.

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.