Data Scientist

Job Description

The Data Scientist will provide data engineering and infrastructure configuration support for complex Python applications, aid in the migration of applications from on-premise to Azure, build and oversee automated data extraction, transfer, and load processes, design scalable hybrid technology architecture, identify and build emerging technologies, propose and implement improvements to the DOHMH data science infrastructure and processes.

Qualifications

• 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

Additional Desired Qualities

• 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