Design and develop advanced analytics solutions using machine learning and AI technologies on the AWS cloud.
About the role
As a Senior Software Engineer Analytics at Bayesian Health, Inc., you will be responsible for designing and developing advanced analytics solutions using machine learning and AI technologies on the AWS cloud. You will work closely with cross-functional teams to identify business needs and develop scalable, efficient, and effective solutions.
Key Responsibilities:
Design and develop machine learning models and algorithms to solve complex business problems.
Collaborate with data scientists to integrate data from various sources and develop data pipelines.
Develop and deploy cloud-based analytics solutions using AWS services such as S3, Lambda, and Glue.
Work with the engineering team to integrate analytics solutions with existing software systems.
Develop and maintain high-quality, well-documented code and ensure adherence to coding standards.
Requirements:
8+ years of experience in software development with a focus on analytics and machine learning.
Strong experience with Python and AWS cloud services.
Experience with data science tools and technologies such as Jupyter Notebook, pandas, and NumPy.
Excellent problem-solving skills and ability to work in a fast-paced environment.
Strong communication and collaboration skills with ability to work with cross-functional teams.