Associate Pricing Scientist
Advance Auto Parts, Inc.Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro Hyderabad and mid-level ML/data role increase competition, niche pricing specialization reduces applicant density.
Skills in pricing science and econometrics are moderately transferable across retail and consumer industries.
Explicit 2–4 years, pricing/retail experience, and mandatory ML/SQL/Python skills increase strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Develop predictive analytics models and solutions for pricing and promotions including price elasticity, customer segmentation, and discount optimization.
Conduct statistical analyses such as A/B testing to forecast the impact of pricing changes on products and regions.
Collaborate with pricing strategy and insights teams to prototype analytics solutions and scale them based on stakeholder feedback.
Minimum Requirements
2 to 4 years of relevant experience as a data scientist or pricing scientist in retail or e-commerce analytics.
Masters or PhD in management science, data science, economics, or mathematics from reputed institutes is preferable.
Strong programming skills in Python or R; proficiency in PowerBI and Snowflake/SQL.
Deep understanding of price elasticity, price-demand curves, econometrics, optimization, and machine learning techniques related to pricing and promotions.
Ideal Candidate Profile
Experienced in building statistical and machine learning models for pricing decisions in retail or e-commerce.
Capable of interpreting complex model outcomes and communicating results effectively to non-technical business stakeholders.
Familiar with forecasting demand using time series methods and understanding micro-economic factors impacting category or regional performance.