Apply state of the art machine learning knowledge to the healthcare domain to identify solutions to healthcare problems.
Work with large data sets, integrate diverse data sources, data types and data structures into the solution.
Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.
Take initiative to find solutions to problems that are impediments to health systems.
Engage in deep research and identify new predictive modeling
techniques as appropriate for a specific solution
Excellent understanding of machine learning concepts and techniques.
At least 2 years of industry experience building machine learning models.
Proficiency in working with multiple data science tools & languages (Python, R, Pandas, Spark etc.)
Proficiency in one or more query languages (SQL, Hive, Pig etc.).
Understanding of Software Development Life Cycle.
Strong applied statistics skills.
Strong cross discipline communication skills.
Bachelor, Masters, or PhD in Mathematics, Computer Science, Statistics, or related field.
$5,000 to $7,000 Monthly
Min Year Of Experience