City Research Scientist

New York City

New York (NY)

On-site

USD 90,000 - 120,000

Full time

45 hours ago
Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

FDNY's Bureau of Fire Prevention seeks a City Research Scientist to lead data-driven research supporting evidence-based decision making in fire safety and public protection. The role involves developing models, translating findings into practical applications, and mentoring within an innovative research environment.

The ideal candidate holds advanced degrees in relevant fields such as Operations Research, Statistics, CS or Economics, with strong analytics skills and experience in SQL, Python or

Qualifications

  • Advanced degree in a relevant field and strong research methods.
  • Experience in analytics and evidence-based decision making.
  • Ability to mentor in a research environment.

Responsibilities

  • Lead research aligned with departmental goals.
  • Develop models and algorithms for data analysis.
  • Translate findings into practical applications for operations and policy.

Skills

SQL
Python
R
PowerBI
Statistical tools
Optimization tools

Education

Master's degree in physical, biological, environmental science or public health
Doctorate degree in a relevant field

Tools

SQL
Python
R

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 Bureau of Fire Prevention cultivates a safer city for its citizens, visitors and first responders by preventing loss of life and property damage from fire and other emergencies. We accomplish this 24/7 by identifying fire and life safety hazards; creating, revising, and enforcing the New York City Fire Code; reviewing plans for critical systems designed to protect and alert building occupants; licensing qualified companies to install and service fire protection equipment and systems; certifying individuals to monitor fire safety conditions; and educating individuals and businesses about fire safety. In addition, the Bureau of Fire Prevention is critical partner with the Bureau of Fire Operations (Firefighters) and Bureau of Fire Investigations (Fire Marshals), providing assistance and guidance during post-fire incidents and investigations; and coordinating with other City agencies on matters concerning fire and life safety. The Bureau consists of Fire Protection Inspectors, lawyers, engineers, explosives experts, and Fire Officers work together to save lives in New York City.

The Fire Department, City of New York (FDNY), seeks a full-time City Research Scientist in the Bureau of Fire Prevention. Reporting to the Director of Performance Management, the City Research Scientist, Level 2, will provide information and data to support evidence-based decision-making, lead research aligned with departmental goals, foster external collaborations, develop advanced models and algorithms, ensure research quality, translate findings into practical applications, and mentor within an innovative research environment.

CITY RESEARCH SCIENTIST - 21744

Minimum Qualifications
  • 1. 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:
  • 1. 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
  • 2. 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
  • 3. 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.

NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year.

Preferred Skills

Preferred SkillsCandidate should have an advanced degree in Operations Research, Statistics, Computer Science, Management Science, Economics, Public Policy or a related field with a strong foundation in research methods and statistical analysis. They must be capable of providing expert judgment in applying analytics and be well-versed in industry best practices, current literature, and advanced analytics in the context of Operations Research.A candidate with the following skills is well suited for the position:

  • Proven proficiency in SQL, Python, or R programming.
  • Routine use of business intelligence visualization software such as PowerBI.
  • Hands-on experience with statistical, simulation, and optimization tools.
  • Strong logical reasoning and a solid understanding of data requirements for front-line usage.
  • Expertise in operations research and statistical methodologies, including deployment analysis, resource allocation modeling, systems/operations analysis, simulation and optimization (both linear and nonlinear), predictive analytics (e.g., deep learning), econometrics and time series forecasting.
  • Experience implementing high-level quantitative research and mathematical modeling initiatives.

Candidate should be an exceptional communicator and a collaborative team player who demonstrates a strong willingness to learn and thrive in diverse, multidisciplinary teams. Candidate should excel at clearly articulating analytical findings and offering practical, data-driven solutions. Additionally, the candidate should possess strong leadership and interpersonal skills, with a focus on delivering exceptional customer service.

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 generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.

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.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Data Quality Analyst
Data Quality Analyst

City of New York • New York (NY)

On-site
USD 95,000 - 130,000
Data Quality & Insights Analyst (Tableau & Python)
Data Quality & Insights Analyst (Tableau & Python)

City of New York • New York (NY)

On-site
USD 95,000 - 130,000
Data Scientist
Data Scientist

New York City Police Department • New York (NY)

On-site
USD 90,000 - 140,000
Data Quality Analyst
Data Quality Analyst

City of New York • New York (NY)

On-site
USD 100,000 - 125,000
Data Quality & Insights Analyst (Tableau + Python)
Data Quality & Insights Analyst (Tableau + Python)

City of New York • New York (NY)

On-site
USD 100,000 - 125,000
Child Care Special Assistant, Bureau of Childcare
Child Care Special Assistant, Bureau of Childcare

NYC Department of Health and Mental Hygiene • New York (NY)

Hybrid
USD 90,000 - 120,000
Loan forgiveness
Health insurance
State pension plan
+1
Machine Learning & Data Engineer, Bureau of Data Technology & Strategy
Machine Learning & Data Engineer, Bureau of Data Technology & Strategy

City of New York • New York (NY)

On-site
USD 110,000 - 160,000
Loan forgiveness programs
Premium-free health insurance
Public sector pension plan
+1
Public Health Data Scientist — Research & Evaluation
Public Health Data Scientist — Research & Evaluation

City of New York • New York (NY)

On-site
USD 90,000 - 140,000
Loan forgiveness
Health benefits
Work From Home option
+3
Workforce Development Coordinator, Bureau of Workforce Development and Training
Workforce Development Coordinator, Bureau of Workforce Development and Training

City of New York • New York (NY)

On-site
USD 70,000 - 90,000
Loan forgiveness
Health benefits
Public sector pension
+2
Data Analyst, Bureau of Public Health Clinics
Data Analyst, Bureau of Public Health Clinics

NYC Department of Health and Mental Hygiene • New York (NY)

On-site
USD 90,000 - 120,000
Loan forgiveness
Health insurance
Pension plan
+2