Associate Pricing Scientist

Overview

Develop pricing and promotions analytics solutions and predictive models for the Advance Auto Parts global pricing and merchandising organization. Use business strategy, competitive intelligence, analytics and data science to support revenue growth, margin improvement and customer experience across the North America business.

What you'll do

• Develop analytics solutions and predictive models for pricing and promotions, such as price elasticity models, customer segmentation and discount optimization, with minimum supervision.
• Perform statistical analysis for hypothesis testing, such as A/B testing, to predict the impact of pricing changes on test SKUs and regions.
• Collaborate with the pricing strategy and insights team to conceptualize and develop prototypes of analytics solutions.
• Discuss requirements with stakeholders and showcase analysis, interpretations and findings.
• Scale analytics solutions to the next level.
• Forecast demand drivers using Structural Time Series and Naïve Bayes approaches.
• Analyze the impact of micro-economic factors on category and region performance.
• Build intelligent systems to capture and model behavioral data to enrich content understanding with behavioral information for promotional strategies.

What you'll need

• 2 to 4 years of relevant experience as a data scientist or pricing scientist in retail or e-commerce analytics.
• Strong fundamental understanding of price elasticity, price-demand curves, econometrics and optimization techniques.
• Strong applied knowledge of machine learning covering classification and regression, with in-depth interpretation of outcomes for pricing and promotions.
• Advanced-level proficiency in Python or R.
• Advanced-level proficiency in Power BI.
• Advanced-level proficiency in Snowflake or SQL.
• Ability to effectively communicate and explain analytical model approaches and outputs to business stakeholders.
• Strong fundamental understanding and research experience in data wrangling.
• Strong fundamental understanding and research experience in statistical analysis.
• Strong fundamental understanding and research experience in predictive modeling using machine learning, including regression and classification.
• Strong fundamental understanding and research experience in cluster segmentation.
• Strong fundamental understanding and research experience in time-series forecasting, including ARIMA and SARIMAX.
• Strong business acumen to understand retail and merchandising functions.
• Excellent communication and collaborative skills, with the ability to work in cross-functional, multicultural global teams.

Nice to have

• Master's or PhD in management science, data science, economics or mathematics from a reputed institute.

Details

• Location: Hyderabad, India.