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About the Role

The Data Scientist will maintain software and integrations for the Enterprise Data Platform (EDP), including the Master Patient Index. This role serves as a liaison across agency IT, EDP developers, and leadership, ensuring secure access, best practices, and platform standards.

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 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.

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.
• The ideal candidate must be pro-active and self-motivated with the ability to work in teams and in a highly dynamic environment with multiple stakeholders and timelines.

Skills

• Python
• SQL
• Machine Learning
• Artificial Intelligence
• Cloud-based technologies
• Docker
• Azure Container Apps
• Azure App Service
• Azure Synapse
• Databricks
• ETL platforms
• Azure Data Factory
• Airflow
• FastAPI
• Django
• Flask

Location

• Tri-state area (NY, NJ, CT)

Work Type

• Hybrid Work Schedule
• Temporary grant-funded position

Experience Level

• 3+ years of experience
• 2+ years of experience
• 5+ years of experience

Education Level

• 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.
• Graduate degree in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics.

Benefits

• Generous Paid Time Off and Holidays.
• 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.

About the Company

• The New York City Department of Health and Mental Hygiene (NYC DOHMH) is one of the largest public health agencies in the world, serving 8 million New Yorkers with an annual budget of $2.3 billion and over 7,000 employees.
• The agency tackles broad public health issues with innovative policies and programs.
• With grant funds from the CDC, DOHMH is undertaking a new initiative to meet critical infrastructure needs and make strategic investments in public health.
• This initiative supports modernizing DOHMH's foundational capabilities and data infrastructure to improve public health outcomes.
• The Center for Population Health Data Science (CPHDS), launched in October 2023, aims to catalyze data modernization and link public health, healthcare, and social services.
• CPHDS is working to make data more accessible, timely, equitable, usable, protected, and actively used to protect and promote the health and wellbeing of New Yorkers.
• The goal is to strengthen agency-wide data capabilities by empowering the workforce, enhancing data sharing, and using modern technology for trusted and integrated data insights.

Equal Opportunity

• PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans.