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.
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.
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.
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