Senior 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 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 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 skilled and highly motivated Senior 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 providing technical leadership and designing data science services that solve Department challenges. They will harmonize software across data science projects and deliver advanced machine learning solutions. Key responsibilities expert-level development work in Python, wrangling both structured and unstructured datasets (e.g. text, geospatial, network data), and designing effective software architecture. Strong project management and team building skills are required.

Requirements

• Strong project management and team building skills are required.
• 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
• Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above.
• Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above.

Responsibilities

• expert-level development work in Python
• wrangling both structured and unstructured datasets (e.g. text, geospatial, network data)
• designing effective software architecture

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: Mid Level