UnitedHealth Group - Senior 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 :

Exp Range :

- 8 - 12 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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