4-6 years of experience in development of analytical model or equivalent work experience
- Development of new models and implementing them using innovative analytical tools for decision support in the areas of planning, marketing, and product positioning in the Healthcare domain. Discrete Choice Modeling, Random Utility, Nested and Random Coefficient Logit, Linear & Non-linear Regressions, Clustering Analysis.
- Development/maintenance of computational or data processing programs using various high-level programming languages (Python, R, etc.), including modeling packages.
- Good applied statistics skills, such as distributions, statistical testing, correlations,
- Processing, cleansing, and verifying the integrity of data used for analysis
- Enhancing data collection procedures to include information that is relevant for building analytic systems.
- Selecting features, building and optimizing classifiers using machine learning techniques
- Excellent experience in machine learning techniques and algorithms for both supervised and unsupervised learning (Classification, Regressions, Decision Forest, Neural Networks, etc.)
- Development/maintenance of computational or data processing programs using various high-level programming languages (Python, R, etc.), including modeling packages.
- Experience with common data science toolkits, such as R, Python, Java, Spark Etc etc.
- Good scripting and programming skills.
- Strong math/analytical abilities and attention to detail.