Junior Data Scientist
Listed on 2026-02-01
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Government
Data Analyst, Data Scientist
Overview
The mission of the New York City Police Department is to enhance the quality of life in New York City by working in partnership with the community to enforce the law, preserve peace, protect the people, reduce fear, and maintain order. The NYPD seeks to foster a safe and fair city by incorporating Neighborhood Policing into all facets of Department operations and by solving problems that create crime and disorder through an interdependent relationship between the people and its police, and by pioneering strategic innovation.
The Office of Management Analysis and Planning (OMAP) analyzes and evaluates Departmental policies, programs, and resources to make recommendations to the Police Commissioner in order to ensure maximum organizational efficiency and effectiveness of the Department. OMAP is the research and assessment arm of the Department, comprised of both uniformed and civilian members with a wide variety of academic and professional experiences.
OMAP conducts analyses aimed at improving the effectiveness and efficiency of the Department, develops complex pilot projects, formulates policy recommendations, and prepares briefing materials for the Police Commissioner on a wide range of legislative and procedural issues.
The Office of Management Analysis and Planning (OMAP) is seeking a highly motivated Junior Data Scientist to join the New York City Police Department (NYPD) Data Science team. OMAP serves as the primary evaluation and assessment arm of the NYPD. Acting as a Think Tank, OMAP focuses on exploring and implementing innovative strategies and efficiencies aimed at enhancing policy development, evaluating programs, and optimizing organizational structures and staffing.
A successful candidate will contribute to the section mission by developing data science services that solve Department challenges. They will harmonize analysis and research to advise leadership on policy and improve Department decision making. Key responsibilities include experience with Python and machine learning, the ability to work with both structured and unstructured datasets (e.g., text, geospatial, network data), and the ability to write clean code to integrate data science services with business intelligence tools.
Strong project management and interpersonal skills are required.
1 Police Plaza. N.Y. 10038
Hours/ShiftMonday - Friday 8 x 4 or 10 x 6
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Additional InformationIn compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
The City of New York offers a comprehensive benefits package including health insurance for the employee and their spouse or domestic partner and unemancipated children under age 26, union benefits such as dental and vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional savings and pre-tax programs such as Deferred Compensation, IRA, and a flexible spending account.
CITY RESEARCH SCIENTIST - 21744
Minimum Qualifications- For Assignment Level I (only physical, biological and environmental sciences and public health) 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.
To be appointed to Assignment Level II and above, candidates must have:
- 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; or
- 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; or
- Education and/or experience which is equivalent to the above.…
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