Role Overview:
- The person will be a part of the data science team for major US BFSI client
- Doing independent research, analyze, and present data as assigned
- Developing and implementing tactical criteria using SAS and Excel to improve performance of Direct mail campaigns
- Developing performance reports for Direct mail campaigns using SAS, Excel
- Developing efficient SAS codes for Direct mail campaign selections with detailed documentation of outputs
- Developing statistical models in SAS, Python/R. Develop detailed SAS/Python/R codes for data preparation and model scoring to be used in the 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 objective/problem statement for marketing campaigns
- Complete understanding of business objective/problem statement for modelling initiatives
- Experience in data extraction and data manipulation in SAS, Python/R and Excel
- Preparing detailed documentation and implementation codes of the process involved in executing Marketing campaigns
- Data exploration, data preparation (outlier treatment, missing value imputation, variable transformation etc.), model building, model validation, optimization and scoring using SAS/Python/R
- 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- s/Master's degree in computer science, mathematics, statistics
- 3-6 years experience, preferably in data science/marketing analytics/building predictive models
- Should be really proficient in creating efficient SAS codes for handling large datasets
- Should be really proficient in building predictive statistical models (look-alike/response models)
- Should have experience working on techniques like Logistic Regression, Decision Trees. Knowledge of Random Forest, GBM, XG-Boost, K-Means Clustering etc. is a plus point
- Superior analytical and problem-solving skills
- Ability to take initiative, quick learner and innovative
- Outstanding written and verbal communication skills
- Able to work in a 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
Salary offered: 8-20LPA
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