Junior Data Scientist

New York City Police Department; New York (NY); In loco; USD 85.000 - 120.000; Tempo pieno

Vantaggi offerti da questo lavoro

Public Service Loan Forgiveness info

Descrizione del lavoro

The New York City Police Department (NYPD) is seeking a Junior Data Scientist to join the Data Science team within the Office of Management Analysis and Planning (OMAP). You will develop data science services, work with structured and unstructured data, and help advise leadership on policy through data-driven insights.

The role emphasizes Python-based analytics, full-stack data solutions, and collaboration across stakeholders to improve operational effectiveness and decision making.

Competenze

• A Baccalaureate degree from an accredited college or university.

Mansioni

• Develop data science services to solve Department challenges.
• Harmonize analysis and research to advise leadership on policy.
• Improve Department decision making through data-driven insights.

Conoscenze

Machine learning

Structured data handling

Unstructured data analysis

Data visualization

Policies research

Project management

Interpersonal skills

Written & verbal communication

Cross-functional collaboration

Attention to detail

Independent work

Team collaboration

Formazione

Baccalaureate degree

Strumenti

Python

DQL

R

scikit-learn

statsmodels

PyTorch

Pandas

NumPy

Matplotlib

NLTK

GeoPy

networkx

ArcGIS

Power BI

Descrizione del lavoro

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.

Key responsibilities

• 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

WORK LOCATION

1 Police Plaza. N.Y. 10038

Hours/Shift

Monday - Friday 8 x 4 or 10 x 6

CONFIDENTIAL STRATEGY PLANNER - 06996

Minimum Qualifications

• A Baccalaureate degree from an accredited college or university and three years satisfactory full-time experience related to the projects and policies to be studied in the particular position.

Preferred Skills

• Experience developing full-stack software applications using Python, DQL, and/or R.
• Ability to develop statistical and machine learning models (e.g. scikit-learn, statsmodels, PyTorch)
• Ability to develop metrics to measure business objectives and improve the operational effectiveness of the Department.
• Ability to develop data visualizations and business communication for department leadership to improve organizational decision making (e.g. Pandas, NumPy, Matplotlib)
• Ability to work with unstructured data, such as text, geospatial, and network data is preferred (e.g. NLTK, GeoPy. networkx)
• Ability to write clean and simple code to automate business tools such as Word, Excel, PowerPoint, ArcGIS, and Power BI is required.
• Excellent oral, written, analytic, organizational, and interpersonal skills and attention to detail are required.
• Ability to manage multiple projects simultaneously and meet tight deadlines.
• Ability to work both independently and on a team.
• Ability to work cross-functionally to strengthen relationships with internal stakeholders, agencies, and academic institutions.
• Knowledge and understanding of criminal justice policy and research literature is preferred.

Public Service Loan Forgiveness

As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education’s website at https://studentaid.gov/pslf/

Residency Requirement

New York City Residency is not required for this position.

Additional Information

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.