Job Responsibilities :
- Create, analyze and maintain explanatory/predictive models using healthcare 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.
- Experience using Machine Learning Algorithms: Linear & Logistic Regression, Time Series analysis, Support Vector Machine, K-Means clustering, K-Nearest Neighbors, Decision Trees, Random Forest, Naive Bayes, PCA, SVD, Artificial Neural Networks, Association Rules, Genetic Algorithm, Optimization, Bagging and Boosting algorithms etc
- Excellent communication and decision making skills are essential.
- Strong analytical, problem solving and decision-making skills
- Develop and maintain working relationships with key customer stakeholders
Skill Set :
- Proficiency required in one or more of analytical tools such as SAS, R, Python.
- Proficiency in extracting required data for analysis from source systems (proficiency in using SQL), data manipulation & data wrangling (SAS, R, Python/Numpy/Pandas, Scala etc.)
- 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
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