Senior Data Scientist

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 evaluate 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 leaming 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.

WORK LOCATION:

1 Police Plaza, New York, N.Y. 10038

WORK SCHEDULE:

Monday to Friday 8 x 4 or 10 x 6

TO APPLY:

Please visit: (Use the "Apply for this Job" box below). and search for Job

ADDITIONAL INFORMATION:

In 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 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, and optional savings and pre-tax programs such as Deferred Compensation, IRA, and a flexible spending account.

IT PROJECT SPECIALIST - 95710

Minimum Qualifications

1. A baccalaureate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and four years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or

2. An associate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and six years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or

3. A baccalaureate degree from an accredited college, and eight years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant…