Econometrics Data Scientist - Retail/eCommerce

Do you apply Machine Learning to Real Life problems:

Are you excited by analysing and modeling terabytes of data that solve real world problems-

We are looking for a passionate and intelligent researcher capable of using statistical modeling and machine learning techniques to create state-of-the-art solutions for non-trivial, and arguably, unsolved problems.

Roles and Responsibilities:

- Responsible for forecasting demand across multiple dimensions, within a city, by micro-geographies. Leverage historical data on demand and customer behaviour, to develop robust forecasts for predicting demand.

- Provide insights to shape business strategy, by isolating and quantifying the contribution of business drivers (pricing, seasonality, promotions, supply) on aggregate growth.

- Collaborate and communicate findings to diverse stakeholders

Skills and Qualifications: Minimum 3-6+ years experience post Master's degree from a premier school.

- Quantitative background (OR, Econometrics, Statistics) with 3-5 years of hands-on experience on time series Forecasting using econometric techniques and machine learning such as auto-neural networks

- Experience in demand forecasting in retail domain, preferably e-commerce

- Experience with causal inference and reduced-form econometrics (event studies, differences in differences, instrumental variables, etc) is a must.

- Strong results driven leader who wants to make an impact in solving real life problems.

- Ability to partner with diverse stakeholders and influence Outcome.

To Know more about the role contact me or call me +919986460308 to know more.

Rinalytics Advisors - Only Analytics- Only Leadership roles

Visit us at www.rinalytics.com

Connect with me on LinkedIn- http- //www.linkedin.com/in/manavdas