Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, Retail, eCommerceIndustries
Requirements
4 to 8 years of relevant experience as Sr. data scientist or pricing scientist in retail/ecom analytics in similar industry and business function
Masters/PhD in management science, data science, economics, mathematics from reputed institutes
Strong fundamental understanding of price elasticity, price-demand curves, econometrics and optimizations techniques
Strong applied knowledge of machine learning covering the landscape of classification
Responsibilities
Independently develop Analytics solutions / predictive model for pricing and promotions e.g. promotions forecasting, price elasticity models, customer segmentation, discount optimization
Perform statistical analysis for hypothesis testing e.g. A/B testing to predict the impact of pricing changes on test skus/regions
Collaborate with the pricing strategy and insights team to conceptualize and develop the prototype of analytics solutions and partner with Enterprise Data Engineering / Data science teams to scale up and deploy the solutions for enabling optimized pricing decisions
Involve in discussions with stakeholders and gather requirements showcasing the analysis, interpretations & findings and scale the solutions to next level
Bring in the thought process and independently involve in designing the approach, test and build the algorithm framework, and implement models
Forecasting of demand drivers using Structural Time Series and Naïve Bayes approach and also by analyzing the impact of micro-economics factors on category/region performance
Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information for promotional strategies