Manager Analytics : Data Scientist
Discipline : Business Operations
Industry : Business Analysis
Job Description/Job Responsibilities :
- Analyse data related data to FWA allegation and come up with solutions (using available tools).
- Create, analyse and maintain explanatory/predictive models of clinical behaviours using healthcare claim data.-
- Work includes all phases of the modelling process: research design, data extraction and cleaning, model building and validation.
- To work through the entire life cycle of a project from inception to implementation.
- To research on the new fraud & abuse patterns & generate new projects basis the research.
- Co-ordinate with clinical/Coding SMEs for seeking the inputs to explore data extraction approach and road map the analysis mile stones.
- Develop and maintain working relationships with key customer stakeholders
No. of Openings : 1
Qualification/Required Skill Set :
- Experience Range - Min 5 years of work experience in the area(s) of advance statistical analysis/modelling/data mining/Machine Learning
- Proficiency required in one or more of analytical tools such as SAS, R, Matlab.
- Experience in at least two of the areas
- Statistical modeling (Regression, Classification, Time-series forecasting) /Machine Learning /Text Mining /Optimization /Visualization
- Knowledge on Machine Learning Techniques- and Big Data Hadoop would be added advantage
- Knowledge of statistical tools and techniques, especially those relating to data mining
- Demonstrated ability to work with large data sets
- 2-4 years of work experience in the area of Fraud detection Analytics
Preferred Knowledge :
- Knowledge of US Healthcare
- Big Data Hadoop
- Deep Learning
- Bagging & Boosting Models
- Ensemble Learning Techniques
- Bayesian statistics
- Logical and efficient, with keen attention to detail.
- Highly self-motivated and directed, pro-actively reporting on status and tasks.
- Basic Knowledge of Python and related data science packages
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