Job Summary
A company is looking for a Data Scientist (Retail Pricing) to lead dynamic pricing and optimization efforts for an e-commerce channel.
Key Responsibilities
- Lead the development and implementation of advanced dynamic pricing models
- Conduct statistical analyses and machine learning modeling for price recommendations
- Design and execute experiments to measure the impact of pricing decisions
Required Qualifications
- Advanced degree (MS or PhD) in a relevant field such as Mathematics or Data Science
- 4-6+ years of retail pricing expertise, including elasticity modeling and competitive pricing
- 4-6+ years of experience in advanced statistical modeling and machine learning
- 5+ years of proficiency in experimental design and analysis
- 5+ years of expert-level skills in Python and SQL for data manipulation and model building
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