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New York City Fire Department

Geographic Information Systems Analyst

New York City Fire Department, New York, New York, us, 10261

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Geographic Information Systems Analyst

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New York City Fire Department .

New York City Fire Department provided pay range This range is provided by New York City Fire Department. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range $98,159.00/yr - $128,995.00/yr

The Fire Department of the City of New York (FDNY) seeks a full-time City Research Scientist, Level III in the Geographical Information Systems (GIS) Unit. With wide latitude for independent initiative & judgment, the GIS Analyst-Research Scientist will assist senior leadership in making evidence-based, geo-spatial decisions, and by communicating research progress, outcomes, and challenges. Responsibilities include identifying research areas based on goals and trends and ensuring that projects are aligned with organizational objectives. Establishing and maintaining collaborations with external partners, academic institutions, and industry stakeholders. Encouraging and driving the development of cutting-edge algorithms, models, and techniques. Reporting to end users ensuring data quality, reviewing metrics for internal and external reports, creating dashboards and completing ad-hoc data and map requests. Ensuring the quality and rigor of research methodologies and results facilitating the transfer of research outcomes into real-world applications and products. Provide mentorship with the ability to inspire and foster a collaborative and innovative research environment.

Minimum Qualifications

For Assignment Level I (only physical, biological and environmental sciences and public health) – A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.

To be appointed to Assignment Level II and above, candidates must have:

A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or

A 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; or

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.

Preferred Skills

Candidate must be an excellent communicator, team player and exhibit a willingness to learn and work well in diverse teams. Excellent at communicating findings and providing pragmatic analytical solutions.

Advanced degree in Geography, Engineering, Operations Research, Statistics, Computer Science, Management Science, Public Policy, or a related field that includes research methods and statistical analysis.

Experience with ESRI ArcGIS Enterprise including Portal, Pro and ArcGIS Online Oracle and Microsoft SQL Tableau and Microsoft Power BI dashboards and geospatial data processing/ETL.

Demonstrated ability in programming and logic a good understanding of data requirements relating to applications design.

Expert ability in operations research and statistical methods and techniques, including deployment analysis and resource allocation modeling, systems/operations analysis, simulation and optimization (linear and nonlinear), predictive analytics (e.g. deep learning), econometrics, time series/forecasting, vehicle routing and related skills.

Experience conducting high-level quantitative research and mathematical modeling.

Expertise in statistical/simulation/optimization packages such as C#, Python, R, SAS, STATA.

Management experience and strong people skills with a focus on customer service.

Providing expert judgement in the use and incorporation of analytics, including being well versed in the analytics industry, best practices, literature, Operations Research and Emergency Response and Deployment analytics.

Ability to communicate findings through writing and data visualization.

Seniority level Associate

Employment type Full-time

Job function Science

Industries Public Safety

Benefits

Medical insurance

Vision insurance

401(k)

Pension plan

Paid maternity leave

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