Junior Data Scientist

City of New York • New York City, NY

5d • 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 NYPD strives to foster a safe and fair city by incorporating Neighborhood Policing into all facets of Department operations and solve the 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 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

Responsibilities

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

Benefits

• health insurance for the employee and his or her 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
• optional savings and pre-tax programs such as Deferred Compensation, IRA, and a flexible spending account

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 101-250 employees