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

DEPT OF HEALTH/MENTAL HYGIENE; New York (NY); Sur place; USD 110 000 - 135 000; Plein temps

Avantages offerts par ce poste

Health Insurance

Pension Plan

Loan Forgiveness

Work From Home option

Résumé du poste

DEPT OF HEALTH/MENTAL HYGIENE in Queens, NY is seeking a skilled CITY RESEARCH SCIENTIST to design and manage data pipelines supporting real-time and batch data processing for public health modernization. You will collaborate with data stewards and units to translate informatics needs into scalable solutions.

The role requires 4+ years in data engineering, mastery of health data standards (HL7/FHIR), and experience with cloud platforms and big data tools.

Qualifications

• 4+ years of experience in data engineering.
• Experience modeling population health outcomes, infectious disease transmission, or health systems operations.
• Experience working with structured and unstructured datasets, including municipal data.
• Knowledge of statistical inference, uncertainty quantification, and validation techniques for simulations.
• Strong communication and collaboration skills.

Responsabilités

• Develop integrated data pipelines enabling data exchange, analysis, surveillance, and reporting.
• Partner with public health data stewards to capture health informatics data needs.
• Integrate health data standards into the data architecture.
• Build and maintain scalable, secure pipelines for real-time and batch ingestion.
• Advise on data technologies and tools to strengthen analytics and data science capabilities.
• Uphold data governance, quality, and security best practices per regulations.
• Coordinate with stakeholders to align infrastructure with diverse unit needs.

Connaissances

Data engineering

Project management

Python

R

Cloud computing

Hadoop

Spark

HL7/FHIR

Simulation models

Formation

Master’s degree

Outils

Azure

AWS

GCP

Linux

Description du poste

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
• 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