We leverage advanced data science techniques to build models for store sales forecasting, sales transfer effects, macrospace optimization, store network optimization, and store network diffusion planning.Key job responsibilities
- Design and implement advanced forecasting models and machine learning solutions to predict store performance and optimize our retail network- Develop end-to-end solutions, tools and frameworks to scale our ML model development and data analysis.
- Leverage Generative AI techniques to enhance user interaction with our solutions and improve overall user experience
- Stay current on latest developments in relevant fields and propose innovative approaches
- Ph.D. degree in Computer Science, Statistics, Applied Mathematics, Operations Research or a related quantitative field or M.Sc. degree with 5+ years of professional experience in building, iterating and validating statistical models
- Familiar with either Optimization problems or Causal Inference.
- Strong in Statistics and Data Science.
- Fluency in Python
- Fluency in SQL
- Excellent communication and data presentation skills.
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