Develop Statistical, Machine learning, and AI-related products to support Evolent Health business objectives, products and improve processing efficiency, reducing overall healthcare costs

• Gather external data sets; build synthetic data, label data sets, and do Data engineering as per the needs for projects


• Apply software engineering skills and Cloud-native solutions to build ML/AI products to improve automation and improve user experiences leveraging structured/unstructured data, machine learning approach, distributed and cloud computing platforms


• Work closely and collaborate with Sr Data Scientists, Machine Learning Engineers, IT teams, and Business stakeholders spread out across various locations in the US and India to achieve business goals


• Provide support to Data Scientists and Machine Learning Engineers on the team

The Experience You’ll Need (Required):

• MS degree or above in Computer Science, Statistics & Mathematics, Physics, or related STEM fields


• 1-3 years of Industry experience including internship related to Data engineering, Data Exploration, Statistical Analysis and building Machine learning models  


• Strong understanding of mathematical concepts including but not limited to linear algebra, Advanced calculus, partial differential equations, and statistics including Bayesian approaches


• Strong programming experience including understanding of concepts in data structures, algorithms, and software engineering principles


• Good understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and regressions, SVM, trees, model evaluations, anomaly, Fraud detection


• good programming experience in twoor more of the following languages (Python, C++, Java, Scala)


• Strong Unix/Linux background and experience with at least one of the following cloud vendors like AWS, Azure, and Google in multiple services


• good Data Visualizations skills to build dashboards and very good communication skills to present it to wider audience

Finishing Touches (Preferred):

• Prior experience working in Health care industry


• Experience with Kubernetes and dockers  


• Experience building REST API’s for AI work and knowledge of microservices architecture  


• Experience working with team members spread globally.