Classification: Contract to Hire
Contract Length: 12 months
Location: Remote, USA
Summary
We are seeking a highly motivated Data Scientist to join our team. In this role, you will be responsible for utilizing advanced analytics and machine learning to develop data pipelines and solutions that will provide data-driven insights to drive strategic decisions. This includes development of predictive analytics models using various machine learning techniques and analyzing large datasets to uncover patterns, trends, and insights to inform decisions.
Responsibilities
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field is preferred, but not mandatory for candidates demonstrating significant experience and a proven track record in the field of AI/ML and platform development.; Master's or higher degree is a plus.
1+ year(s) of experience in Healthcare - Preferred
10+ years of experience in Information Technology - Required
Proficiency with Python and data science libraries (Pandas, NumPy, SciPy, Scikit-Learn, etc.)
Experience producing meaningful visualizations/dashboards/presentations to business stakeholders
Experience solving "full stack" machine learning problems, from data collection to model training to deployment, and experience using machine learning.
Understanding and exposure to the different levels of the data science cycle (definition, collection, preparation, extraction, analysis, modeling, and deployment)
Experience with Object Oriented Programming (OOP) concepts & scalable software design principles
Experience working with SQL/MySQL
Experience working with GCP AI and ML Products such as: Vertex AI, AutoML, Vertex AI Notebooks, Document AI, BigQuery ML
Ability to multitask and to balance competing priorities.
Strong verbal, written, and interpersonal skills, including a desire to work within a highly-matrixed, team-oriented environment.
A successful candidate may have:
Experience in Healthcare Domain
Experience in Patient Data
ML, Pandas, NumPy, SciPy, Scikit-Learn