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New York City

    Director of Data Science and Innovation - New York, United States - City of New York

    City of New York
    City of New York New York, United States

    3 weeks ago

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    Description

    Job Description

    The Fire Department of the City of New York (FDNY) is the largest Fire Department in the United States and universally is recognized as the world's busiest and most highly skilled emergency response agency. The Department's main goal is to provide fire protection, emergency medical care, and other critical public safety services to residents and visitors in the five boroughs. FDNY members are sworn to serve and protect life and property and the Department works to continually educate the public in fire, life safety and disaster preparedness, along with enforcing public safety codes. Since its inception in 1865, FDNY has helped lead efforts to make New York the safest big city in the nation. This accomplishment requires a steadfast and daily commitment to maintaining the Department's core values.

    The FDNY Bureau of Management Analysis and Planning (MAP) is headed by an Assistant Commissioner and reports to the Fire Commissioner. MAPs core responsibilities include measuring, tracking and analyzing the Departments strategic objectives, day-to-day operations and emergency responses to protect lives and property. Within MAP, the Analytics team fulfills two primary functions: 1) Operations research to improve decision-making using big data and advanced analytical methods, including machine learning and artificial intelligence techniques, optimization algorithms, simulation and statistical analyses. 2) Reporting to end users by ensuring data quality, reviewing metrics for internal and external reports, creating dashboards and completing ad-hoc data requests.

    The Fire Department, City of New York (FDNY), seeks a full-time Executive Program Specialist in the Bureau of Management Analysis and Planning. Reporting directly to the Assistant Commissioner of Management Analysis and Planning, with wide latitude for independent initiative and judgment, the Director of Data Science and Innovation will assist senior leadership in making evidence-based decisions. Primary responsibilities include leading a team of analysts who provide comprehensive operations research and quantitative analytical services to stakeholders. The Director will provide data management expertise and guidance on how to best utilize key department datasets for metrics; develop analyses and data visualizations; implement data hygiene and quality assurance strategies for agency data. Additional responsibilities include being the agency point of contact for the Open Data initiative in accordance with the NYC Open Data Law, responding to mayoral reporting requirements and serving as an expert facilitator of overall algorithmic, data and metric quality to internal and external stakeholders. Daily functions include planning, managing, executing and reporting on analytics projects regarding the Department's operations. Providing quantitative input on innovative policy approaches to improve performance. Supervising analysts conducting advanced statistical analyses including simulation and optimization modeling, predictive analytics and other statistical methods. Developing state-of-the-art data visualizations. Articulating predictive algorithms for improving agency performance. Instituting technical documentation, model validation processes and data and coding best practices. Ensuring adherence to best practices regarding confidential reporting, the protection of PII and data encryption. Representing the Department in analytics discussions with the Mayor's Office and City Council.

    Qualifications

    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.

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