AddressQualification:
Master in statistics, mathematics, economics, or Bachelor in Engineering with a bent toward analytics/statistics
Skills/ Experience:
- Ability to engage with stakeholders to understand business requirements and convert the same into technical problems for solution development Knowledge of analytical/statistical techniques similar to but not limited to linear and logistic regression, decision trees, random forests, support vector machines clustering, etc., and their applications.
- Working knowledge of/experience in SAS and R/Python is a must Experience in handling large volumes of data, data cleansing & data preparation Good communication skills, both written and spoken Ability to translate and integrate results of statistical models with business understanding to help in realizing business outcomes. Knowledge of data visualization tools (Tableau, QlikView, etc.) is an added advantage
- The candidate should have worked hands-on as an individual contributor in developing predictive models in at least one of these areas - cross-sell / up-sell strategies, market segmentation, price optimization, customer retention, anomaly detection, etc.
Job responsibilities:
- Interact with internal stakeholders to capture business requirement
- Translate business requirements into statistical problem statements
- Perform multivariate analysis and design innovative solutions using statistical modeling and solve business problems Define project scope and deliverables that support business goals; collaborate with the concerned team to ensure timely delivery of projects.
