AI Data Scientist

Job Description

TRS is seeking a driven, analytical, and technically capable Entry-Level Data Scientist to support our growing portfolio of artificial intelligence, automation, and data-driven initiatives. This role is ideal for someone passionate about applying data science and machine learning to drive practical, responsible, and mission-aligned innovation in the public sector.
Reporting directly to the Chief Artificial Intelligence Officer (CAIO), you will support the development of AI-enabled solutions that improve internal operations, enhance member services, and promote responsible innovation across the agency.

Key Responsibilities
- Explore, analyze, and prepare data to uncover trends, patterns, and operational insights.
- Support the design, development, and evaluation of machine learning and AI models across various business areas.
- Collaborate with analysts, developers, and subject matter experts to frame problems and recommend data-driven solutions.
- Develop dashboards, visualizations, and written reports to communicate findings clearly to technical and non-technical audiences.
- Assist with testing and evaluating emerging tools and AI technologies under consideration.
- Ensure compliance with governance and ethical AI practices.
- Document methodologies and findings to support learning and iteration.
- Write clean, reusable code for data pipelines, automation workflows, and AI prototypes.
- Contribute to collaborative development through code reviews and version control tools (e.g., Git).

STATISTICIAN - 40610

Qualifications

1. 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 statistics, mathematics, computer science/information technology, operations research and econometrics; 12 semester credits of which must be in statistics and/or econometrics; and one of the following:
(A) one year of satisfactory full-time experience in one or more of the fields of statistical or mathematical analysis, information technology, operations research and/or econometrics; or


(B) a master’s degree from an accredited college or university in statistics, mathematics, computer science/information technology, operations research, econometrics, or a closely related field.


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 professional statistical analysis experience.


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 professional statistical analysis experience.

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.