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

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.

- Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field. - Proficiency in Python or R, with working knowledge of SQL. Familiarity with machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow) and foundational ML concepts. - Strong analytical skills with attention to detail and curiosity-driven problem solving. - Clear, effective communication skills and collaborative approach to teamwork - Familiarity with tools such as Jupyter Notebooks, Git, and data visualization platforms (e.g., Tableau, Power BI, Matplotlib). - Exposure to REST APIs, cloud platforms (Azure, AWS, Google), or automation scripting. - Familiarity with large language models (LLMs), prompt engineering, or frameworks like LangChain, CrewAI, or AutoGen Studio. - Background in public sector data, civic tech, or digital transformation. - Interest in ethical AI, model explainability, and the transparent use of emerging technologies.

This position is also open to qualified persons with a disability who are eligible for the 55-a Program. Please indicate at the top of your resume and cover letter that you would like to be considered for the position through the 55-a Program.

As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education’s website at https://studentaid.gov/pslf/.

New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.

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.