Job Location: Gurgaon/Gurugram
Role Overview:
– The person will be part of data science team for a major US insurance client
– Doing independent research, analyze, and present data as assigned
– Developing statistical models in SAS, PythonR
– Develop detailed SASPythonR codes for data preparation and model scoring to be used in production
– Critically examine and deep dive into models and improving model performance
– Prepare detailed documentation of models output, performance and all the steps involved
– Assist in learning and development of new team members
– Identify and participate in continuous improvement initiatives
Key Responsibilities :
– Complete understanding of business objectiveproblem statement as well as modeling goals
– Experience in data extraction and data manipulation in SAS, PythonR and Excel
– Data exploration, data preparation (outlier treatment, missing value imputation, variable transformation etc.), model building, model validation, optimization and scoring using SASPythonR
– Preparing detailed documentation of models output results (of different iterations), model performance, feature importance and all the steps involved to optimize the model performance
– Adhere to project deliverables and controls
– Experience in data control and data automation
– Good written and verbal communication skills
Candidate Profile :
– Bachelor’sMaster’s degree in computer science, mathematics, statistics
– 2-7 years- experience, preferably in data sciencemarketing analyticsbuilding predictive models
– Should be really proficient in building predictive statistical models (look alikeresponse models)
– Should have experience working on techniques like Logistic Regression, Decision Trees, Random Forest, GBM, XGBoost, K-Means Clustering etc.
– Superior analytical and problem solving skills
– Ability to take initiative, quick learner and innovative
– Outstanding written and verbal communication skills
– Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
– Is able to understand cross cultural differences and can work with clients across the globe
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