Job Description

About Advance Auto Parts:

Founded in Roanoke, VA in 1932, Advance Auto Parts is a leading automotive aftermarket retail parts provider that serves both professional installer and do-it-yourself Customers. As of July 13, 2019, Advance operated 4,912 stores and 150 Worldpac branches in the United States, Canada, Puerto Rico, and the U.S. Virgin Islands. The Company also serves 1,250 independently owned CARQUEST branded stores across these locations in addition to Mexico, the Bahamas, Turks, and Caicos and the British Virgin Islands. The company has a workforce of over 70,000 knowledgeable and experienced Team Members who are proud to provide outstanding service to their Customers, Communities, and each other every day.

About AAP Global Capability Center :

We are continually innovating and seeking to elevate the Customer experience at each of our stores. For an organization of our size and reach, today, it has become more critical than ever, to identify synergies and build shared capabilities. The AAP Global Capability Center, located in Hyderabad, is a step in this strategic direction that enables us to access a larger talent pool, unlock operational efficiencies and increase levels of collaboration.

Roles and Responsibilities:

• Independently develop Analytics solutions / predictive model for pricing and promotions e.g. price elasticity models, customer segmentation, promotions forecasting, 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

• Responsible for the development of promotions and pricing analytics strategies and the absorption of any analytics platforms/solutions for delivering business value in collaboration with multiple stakeholders from IT, Merchandizing and Pricing leadership

• People manager, responsible for mentoring, career development and overall growth of the pricing science team members

Requirements:

• 8 to 12 years of relevant experience as Sr./Lead 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 is a must.

• Should have strong fundamental understanding of price elasticity, price-demand curves, econometrics and optimizations techniques.

• Strong applied knowledge of machine learning covering the landscape of classification, regression and with in-depth interpretation of outcomes for pricing and promotions

• Advance level proficiency in python/R, PowerBI, Snowflake/SQL and cloud technologies

• Ability to eƯectively communicate and explain the analytical model approach and output with the business stakeholders

• Experience of developing a powerful storyline to provide meaningful insights for senior leadership consumption

• Proven Experience of end-to-end development and deployment of advance analytics solutions in a highly complex business environment

• Applicants should have strong fundamental understanding and research experience in Data Wrangling, Statistical Analysis, Predictive Modeling using Machine Learning (Regression and Classification), Clusters Segmentation, Time Series Forecasting (ARIMA, SARIMAX) etc.

• Proven ability to coach and mentor junior team members and make them successful in achieving their objectives

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