Junior Data Scientist

City of New York • New York City, NY

1d • Onsite

About The Position

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 New York City Police Department strives to foster a safe and fair city through the strategic deployment of resources, focusing on both crime prevention and addressing quality-of-life concerns while building lasting community relationships. The Office of Management Analysis and Planning (OMAP) analyze 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 uniform and civilian members of the service with a wide variety of academic and professional experiences. OMAP conducts analyses aimed at improving the effectiveness and efficiency of the Department (e.g., personnel deployments. resource allocation), 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 also harmonize analysis and research to advise leadership on policy and improve Department decision making.

Requirements

• experience with Python and machine learning
• the ability to work with both structured and unstructured datasets (e.g. text, geospatial, network data)
• the ability to write clean code to integrate data science services with business intelligence tools
• Strong project management and interpersonal skills are required
• A baccalaureate degree from an accredited college or university, accredited by regional, national, professional or specialized agencies recognized as accrediting bodies by the U.S. Secretary of Education and by the Council for Higher Education Accreditation (CHEA) including or supplemented by 24 semester credits in accounting, including one course each in: advanced accounting, auditing, and cost accounting; and one of the following: (A) one year of full-time satisfactory experience in management auditing, financial auditing, and/or information technology (IT) auditing; or (B) a valid Certified Public Accountant license issued by the New York State Education Department; or (C) a valid Certified Internal Auditor certificate issued by the Institute of Internal Auditors (IIA); or 2. A satisfactory combination of education and/or experience equivalent to "1" above. Education and/or experience may be substituted as follows: (A) two years of full-time satisfactory experience in financial or managerial accounting may be substituted for the one year of experience described in "1(A)" above; (B) undergraduate or graduate credits from an accredited college or university, accredited by regional, national, professional or specialized agencies recognized as accrediting bodies by the U.S. Secretary of Education and by the Council for Higher Education Accreditation (CHEA) in management, computer science, public administration, and/or business administration may be substituted for up to 9 semester credits in accounting, on a credit for credit basis. However, all candidates must have a baccalaureate degree including or supplemented by 15 semester credits in accounting, including one course each in advanced accounting, auditing, and cost accounting, and one of the following: at least one year of the experience described in "1(A)" above or its equivalent; or a Certified Public Accountant license; or a Certified Internal Auditor certificate, as described in "1(B)" or "1(C)" above.
• To be eligible for placement in Assignment Level II individuals must have, in addition to meeting the minimum requirements, at least one year of experience as a Management Auditor - Assignment I or at least two years of experience in management auditing, financial auditing, and/or information technology (IT) auditing.

Responsibilities

• developing data science services that solve Department challenges
• harmonize analysis and research to advise leadership on policy and improve Department decision making

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level