Machine Learning & Data Engineer, Bureau of Data Technology & Strategy

Support integrated, scalable, and secure data pipelines and a platform for real-time and batch ingestion and processing to advance public health data modernization and data sharing.

• Develop integrated data pipelines that enable efficient data exchange, analysis, surveillance, and reporting
• Partner with public health data stewards to capture health informatics data needs
• Integrate public health data standards and practices into the integrated data architecture
• Build and maintain scalable, secure pipelines and platform for real-time and batch ingestion from diverse internal and external sources
• Advise on selection and implementation of data technologies and tools to strengthen analytics and data science capabilities
• Uphold data governance, data quality, and security best practices, including compliance with applicable regulations and standards
• Coordinate with internal and external stakeholders to align infrastructure enhancements with the needs of diverse units

Requirements

• Planning and project management skills, with the ability to adapt to new information and changing needs
• Experience modeling population-level health outcomes, infectious disease transmission, behavioral dynamics, or health systems operations
• Experience working with structured and unstructured datasets, including data from NYC or other municipal contexts
• Knowledge of statistical inference, uncertainty quantification, sensitivity analysis, and validation techniques for simulation models
• Prioritization and time management skills
• Interpersonal and communications skills, including managing working relationships across all levels
• High degree of self-awareness, humility, and diplomacy
• 4 or more years of experience in data engineering, including building and managing scalable data pipelines
• Experience with cloud-based data solutions such as Azure, AWS, or GCP
• Programming experience with Python and/or R
• Linux systems experience
• Big data technology experience such as Hadoop and/or Spark
• Familiarity with health informatics and public health data standards, including HL7 and FHIR
• Experience developing simulation modeling, including agent-based models, discrete event simulations, or system dynamic models
• Experience identifying and integrating datasets for simulation or predictive modeling use
• Ability to translate modeling outputs into clear, actionable insights for stakeholders
• Experience conducting scenario analysis to support policy or program decision-making
• Experience mentoring more junior staff, managing projects, and collaborating across diverse functional teams
• Strong problem-solving and communication skills for conveying technical concepts to a broad audience

Technologies

• Azure, AWS, GCP
• Python, R
• Linux
• Hadoop, Spark
• HL7, FHIR
• Agent-based models
• Discrete event simulations
• System dynamic models

Benefits

• Loan Forgiveness: Federal/state loan forgiveness and repayment assistance programs that lessen payments or fully forgive the full balance
• Health Insurance: Premium-free health insurance plan; saves employees over $10K annually (per a 2024 assessment)
• Additional health, fitness, and financial benefits may be available based on the position’s associated union/benefit fund
• Retirement: Public sector defined benefit pension plan with steady monthly payments in retirement
• Tax-deferred savings program
• Robust Worksite Wellness Program
• Work From Home Policy: Depending on position, may be able to work up to two days during the week from home

Position Details

• Location: Queens, NY (onsite)
• Work location: 42-09 28th Street
• Number of positions: 1
• Category: Technology, Data & Innovation
• Posted on: 09/30/2026
• Posted until: 11/29/2026
• Job ID: 803214
• Title code: 21744
• Civil service title: CITY RESEARCH SCIENTIST
• Title classification: Non-Competitive-5
• Experience level: Experienced (non-manager)
• Job level: 4A
• Minimum experience: 4 years
• Education: master’s degree
• Salary range: $109,565.00 – $135,000.00 per year
• No exam required
• Minimum qualifications (Assignment Level I): A master’s degree from an accredited college or university with specialization in an appropriate field of physical, biological and environmental sciences and public health
• Additional minimum qualifications are required for Assignment Level II and above (including doctorate degree and specified experience pathways)
• Probationary period: Minimum probationary period of one year
• Residency requirement: New York City residency generally required within 90 days of appointment
• Residency exceptions: City employees in certain titles who have worked for the City for 2 continuous years may be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County
• Residency applicability: Discuss with the agency representative at the time of interview

Technologies focus: Azure, AWS, GCP, Python, R, Linux, Hadoop, Spark, HL7, FHIR, agent-based models, discrete event simulations, system dynamic models