Job Description:

Functional Area
- Leverage huge sets of healthcare payer data to analyze member experience across several dimensions
- Make recommendations for streamlining underlying processes to enhance member journey, proactive intervention and prompt care delivery
Responsibility
- Capture a 360 degree view of member experience by consolidating disparate data sets
- Perform descriptive analysis on various aspects of member journey - points of care, claims adjudication, operational processes, appeals mechanism
- Identify areas of improvement or friction that might be disrupting member satisfaction
- Member Profiling - Segment population using advanced clustering techniques for customized targeting and intervention
- Deploy predictive modeling to design an intervention framework which can navigate the member through his/ her journey with minimum disruption and proactive care
Skills
- Proficiency in PySpark, Pandas
- Proficiency in leveraging CI/CD tools to automate deployment and testing Experience in Agile methodologies and fast paced DevOps environments
- Proficiency in scripting and GIT workflows
- Good Knowledge of Hadoop, MapReduce, HDFS
- Good Knowledge of Big Data querying tools, such as Hive
- Experience with Big Data ML toolkits - SparkML (alternatively, Scikit Learn in Python)
- Good Knowledge of Statistical Techniques - Descriptive Statistics, Hypothesis Testing, Tests of Significance, Correlation, Predictive Modeling
- Good knowledge of SQL, Tableau and MS Excel
- Good domain knowledge of US Healthcare space,

Profile Summary:

Employment Type : Full Time
Industry : Recruitment Services
Salary : Not Disclosed
Deadline : 19th May 2020

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