Data Scientist

Public Health Solutions • New York, NY

4d • Hybrid

About The Position

The New York City Department of Health and Mental Hygiene (NYC DOHMH) is seeking a Data Scientist to support a new initiative funded by the Centers for Disease Control and Prevention (CDC). This initiative aims to modernize DOHMH's data infrastructure and capabilities to improve public health outcomes, including those related to COVID-19. The Center for Population Health Data Science (CPHDS), launched in October 2023, is central to this effort, focusing on making data more accessible, timely, equitable, and usable. The Data Scientist will play a key role in this modernization, contributing to data infrastructure enhancements, data sharing, and the use of modern technology to generate trusted insights. A real-time and comprehensive view of city needs is essential to enhance public health actions and improve health outcomes for vulnerable New Yorkers.

Requirements

• 3+ years of hands-on experience with Python version 3.x
• 3+ years of hands-on experience with SQL databases
• 3+ years of hands-on experience with mathematical, statistical, machine learning, or artificial intelligence models in Python
• 2+ years of hands-on experience performing data science tasks using cloud-based technologies
• 2+ years of experience building Python applications that leverage cloud-based technologies such as docker or Azure Container Apps or Azure App Service
• 3+ years of Data Lake analytics platforms such as Azure Synapse or Databricks
• Strong organization and time management skills
• Good written and verbal communication skills
• Ability to work independently as well as part of a team
• Undergraduate degree or certificate in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, or a similar field of study
• Pro-active and self-motivated individual with the ability to work in teams and in a highly dynamic environment with multiple stakeholders and timelines.

Nice To Haves

• 5+ years of experience performing data science tasks using cloud-based technologies
• 5+ years of hands-on experience in Python
• 3+ years of experience building applications in Python web frameworks such as FastAPI, Django, or Flask
• 3+ years of experience using ETL platforms such as Azure Data Factory or Airflow
• Graduate degree in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics

Responsibilities

• Provide data engineering and infrastructure configuration support for complex Python applications.
• Aid migration of complex Python applications from on-premise environments to Azure, including transformation of applications to cloud-native architecture.
• Build and oversee automated data extraction, transfer, and load processes to support analytics databases.
• Build resources to ingest, extract, or analyze data housed in a data lake environment.
• Design, build, and document scalable hybrid technology architecture using both on-premise and cloud resources on Azure.
• Identify, explore, and help build emerging free, open-source technologies.
• Design, implement, test, deploy, update, and document statistical, machine learning, and deep learning models.
• Propose and implement improvements to the DOHMH data science infrastructure and processes.

Benefits

• Hybrid Work Schedule
• Generous Paid Time Off and Holidays
• An attractive and comprehensive benefits package including Medical, Dental and Vision
• Flexible Spending Accounts and Commuter Benefits
• Company Paid Life Insurance and Disability Coverage
• 403 (b) + employer matching and discretionary company contributions
• College Savings Plan
• Ongoing training and continuous opportunities for professional growth and development

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree