Data Scientist

Duties and Responsibilities:

- Ability to work with large data sets and present conclusions to key stakeholders; Data management using R/Python/Spark

- Working through the phases of project

- Define data requirements for creating a model and understand the business problem

- Optimize processing speed, automate iterative tasks as much possible, write codes in modular form with high reusability

- Clean, aggregate, analyze, interpret data, and carry out quality analysis of it

- Set up data warehouse for predictive/prescriptive analysis

- Development of AI/ML models or statistical/econometric models.

- Hands on experience in Market Mix Optimization, Pricing and Promotion optimization, Assortment optimization etc.

- Working along with the team members

- Looking for insight and creating a presentation to demonstrate these insights

- Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects

Educational Background/Qualifications:

- B.Tech in Computer Science, MCA or Master degree in Statistics/Econometrics/Mathematics or related subjects

- MPhil/PhD in Statistics/Econometrics or related fields

Requirements:

- 1+ years of work experience in consulting/analytics with reputed organization is desirable.

- Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and programming languages like R/ Python/ Spark is a mandate

- Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, XGBoost, Neural Network etc.