Associate Pricing Scientist

AAP Global Capability Center LLP (380); India; Remote; INR 1,500,000 - 2,100,000; Full time

Job summary

Advance Auto Parts India Pricing team seeks a data scientist to develop pricing analytics and predictive models for pricing and promotions. You will apply data science methods to optimize price strategies and support revenue growth.

You will collaborate with pricing strategy and insights teams, perform hypothesis testing (A/B), forecast demand drivers, and build systems to model large-scale behavioral data for promotional decisions.

Qualifications

• 2–4 years of data scientist or pricing analytics experience in retail/ecommerce.
• Master's or PhD in a relevant field preferred.
• Strong understanding of price elasticity, econometrics and optimization techniques.
• Proficient in Python/R, PowerBI, Snowflake/SQL and data visualization.
• Able to communicate analytical results to business stakeholders.
• Experience with time series forecasting (ARIMA, SARIMAX) and segmentation.

Responsibilities

• Develop analytics solutions / predictive models for pricing and promotions.
• Perform statistical analysis for hypothesis testing (A/B testing).
• Collaborate with pricing strategy and insights teams to prototype analytics solutions.
• Gather requirements and communicate findings to stakeholders; scale solutions.
• Forecast demand drivers using time series and assess macro factors on performance.
• Build systems to model large behavioral data for promotional strategies.

Skills

Price elasticity

Econometrics

Machine learning

Data wrangling

Communication skills

Education

Master's degree in management science, data science, economics, mathematics

Tools

Python

R

PowerBI

Snowflake/SQL

Job description

Job Description About Advance Auto Parts:

Advance Auto Parts, Inc. is a leading automotive aftermarket parts provider that serves both professional installer and do-it-yourself customers. As of July 18, 2026, Advance operated 4,311 stores primarily within the United States, with additional locations in Canada, Puerto Rico and the U.S. Virgin Islands. The Company also served 786 independently owned Carquest branded stores across these locations and various Caribbean islands. Advance Auto Parts India (AIIC) in Hyderabad, India, was established in 2019 to unlock operational efficiencies, increase levels of collaboration and support all regions in the US across IT, Financial, HR, Merchandizing, and Digital. With a large talent pool of over 450 employees, Advance works towards delivering the company’s mission: Passion for Customer ...Passion for Yes!

About Pricing Team:

The Advance Auto Parts India Pricing team is part of global pricing and merchandizing organization. It is responsible for determining the best prices for automotive parts by combining business strategy, competitive intelligence, analytics, and data science to grow revenue, improve margins, and enhance customer experience across our North America business.

Role and Responsibilities:

• Develop Analytics solutions / predictive model for pricing and promotions e.g. price elasticity models, customer segmentation, discount optimization with minimum supervision
• 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 preferable
• 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
• 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.
• Strong business acumen to understand the retail and merchandizing functions.
• Excellent communication and collaborative skills with the ability to work in cross functional multi-cultural global teams

Advance Auto Parts, Inc. is a leading automotive aftermarket parts provider that serves both professional installers and do-it-yourself customers. As of October 5, 2024, Advance operated 4,781 stores primarily within the United States, with additional locations in Canada, Puerto Rico and the U.S. Virgin Islands. The company also served 1,125 independently owned Carquest branded stores across these locations in addition to Mexico and various Caribbean islands. Additional information about Advance, including employment opportunities, customer services and online shopping for parts, accessories and other offerings can be found at www.AdvanceAutoParts.com.