Job Description :
Job Description:
· Master’s Degree or Ph.D. in STEM with 4+ years preferred OR Bachelor’s Degree in STEM with 7+ years.
· Experience in predictive modeling , data science, machine learning, or user and entity behavior analytic development,
· Experience in developing predictive, prescriptive, optimized and forecasting models, including the use of contemporary techniques such as and not limited to support vector machines, neural networks and gradient boosting.
· Experience in interpreting results from statistical and mathematical models.
· At least 4 years focused on applications of Data Science / Analytics.
· A minimum of two years’ experience in applying Data Science/ Analytics to Health Insurance/Health care related problem/use cases.
· A minimum of 4 years’ experience introducing automation and operating within a fast paced prototyping environment,
· Experience with one or more cloud services (AWS, MS Azure)
· Experience in Analytic development with streaming and a Hadoop ecosystem (Hive, Spark etc
· Experience in SQL, NoSQL, graph-based, Key/Value stores, document stores, Python and/or R for complex data manipulation, statistical analysis and machine learning.
· Experience in advanced data visualizations and interpretation using data visualization tools (e.g., Tableau, Power BI)
· Experience applying machine learning to real-world production systems, analytic development based on SparkML and other ML libraries.
· Familiarity with common Linux/Unix command line tasks and version control software like git or svn preferable,
· Using and developing statistical analysis, modeling, simulation and machine learning methods.
· Comfort with complex mathematical concepts and models.
· Experience with Agile Methodology/Scrum Development and DevOps.
· History of solving difficult problems using a scientific approach highly preferred.
· Ability to communicate and present the work effectively and influence others.
· Ability to work in a fast paced environment and shift gears quickly.