Data Scientist (Demand Planning & Pricing)

Responsibilities

Key Expectations:

• Data Modelling: Should design various data models to define optimum price point to get optimum
  
  

number of consumers to transact on platform. It must include below objectives while adding more to the

list

• Data collection: design and develop process/ method/ tools to capture all primary and secondary data in right format
• Data Storage: architect to design big data storage
• Data visibility: Should design to present data and insights in meaningful way to management and clear
  
  

any doubt around the outcome. It should be easy for management to see the impact and suggest for any

strategic move

• Sensitivity analysis: All data modelling must have sensitivity inbuilt to measure impacts and can be used
  
  

for strategic decisions by management.

• Will be responsible for every action related to pricing
• Should build complex data like weather, seasonality, festivities as part of model
• Will be responsible for overall margin
  
  

Requirements

• Having 3 to 7 years hands-on experience with creating statistical models
• MBA/ B-tech/ degree in statistics from a top-tier school.
• At least 1-2 years’ experience in data science projects
• Experience with common and advanced statistical tools and process large data set
• Strong sense of data, analytical skills to measure behavioral outcome
• Enthusiastic to work with an attitude of “It’s not over till it’s over”