Assistant Manager/Lead Assistant Manager - Data Science/SAS/Python/R & Excel - BFSI

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