Offer summary

Qualifications:

Master's or PhD in management science, data science, economics, or mathematics from reputed institutes., 2 to 4 years of relevant experience as a data scientist or pricing scientist in retail or e-commerce analytics., Strong understanding of price elasticity, econometrics, and optimization techniques., Proficiency in Python or R, PowerBI, and SQL for data analysis and modeling..

Key responsibilities:

Develop predictive analytics models for pricing and promotions.

Perform statistical analysis and hypothesis testing to evaluate pricing strategies.

Collaborate with teams to conceptualize and prototype analytics solutions.

Communicate findings and insights to stakeholders to inform decision-making.

Job description

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.

ABOUT PRICING TEAM

The Pricing team is growing its presence in India to help expand our technical, brand, and analytical capabilities across the enterprise. This is a fantastic opportunity to join a team of highly specialized and focused individuals dedicated to driving our brand marketing and eCommerce outcomes in a collaborative environment.

Join the Pricing team and start reimagining the future of automotive retail. Disrupt the way consumers buy Auto Parts and join a fast-growing eCommerce team to take on the industry’s biggest challenges.

The focus here is on our customers -- how we make them happy, earn their trust, and create loyalty. We want to expand our best-in-class data science capability to predict consumer behavior and ensure we are getting the right return on our investments. Ultimately, the Pricing team is responsible for rapidly developing and deploying solutions that will drive the customer experience and, ultimately, enhance our bottom line as an organization.

Roles and responsibilities

Develop Analytics solutions / predictive model for pricing and promotions e.g. promotions forecasting, price elasticity models, customer segmentation, discount optimization with minimum or no supervision from Sr pricing scientists or lead scientists.
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
Involve in discussions with stakeholders and gather requirements showcasing the analysis, interpretations & findings and scale the solutions to next level
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

Requirements:

2 to 4 years of relevant experience as data scientist or pricing scientist in retail/ecom analytics
Masters/PhD in management science, data science, economics, mathematics from reputed institutes is a must.
Should have a 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 (at least 1)
Ability to effectively communicate and explain the analytical model approach and output with the business stakeholders
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.

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