Data Scientist - Revenue Analytics - eCommerce

My Client is operating out of Mumbai and is one of the successful entertainment channels on digital platforms. They are expanding and looking for the best in the industry.

Role: Data Scientist - Revenue Analytics

Key responsibilities:

- Designing, developing & executing the required analytical algorithms, techniques, and statistical methods to develop analytics solutions to address and then solve business problems

- Structuring large quantities of data, doing analysis and extracting meaning from data to help improve decision making

- Designing experiments, testing hypotheses and building actionable and scalable models

- Helping decision makers and leadership to take data-backed decisions

- Working closely with internal teams and various stakeholders in the deployment of the developed solution to optimize the business operations seamlessly

- Employ statistical techniques to drive innovation in the system

- Stay up-to-date with the latest tools and techniques in data science

- Mentor junior members of the team in data science techniques

What's on offer:

- You will be working with the best entertainment channel in India

Does this sound like you?

Must haves/mandatorily needed

- Worked in the logistics/e-commerce industry; With the likes of Ola, uber, Walmart etc in operations research work, pricing, supply chain, and inventory optimization

- Worked on B2C large customer base organizations

- Strong knowledge of Optimization analytics

- Worked on revenue analysis, forecasting, Pricing Optimization etc

- Good knowledge of Machine Learning techniques

Good to have

Masters in Quality Management & Statistics / Operation Research / SCM (from ISI, IIT, Chennai Mathematical Institute etc preferred)

A successful applicant will:

- Be able to display maturity

- Be motivated

- Be able to deal with ambiguity and chaos

- Have a can-do attitude

- Have strong communication skills