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Known brand, senior ML role with specialized retail/pricing skills yields medium competition.
Requires deep ML/LLM and retail pricing expertise, so background fit is high.
Explicit 7–10 years, advanced degree and many mandatory ML/production skills create high strictness.
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Develop and deploy production-ready analytical models focusing on pricing and promotions to drive revenue and cost efficiency.
Leverage machine learning, AI, and advanced analytics using cloud-based platforms to generate actionable business insights.
Collaborate cross-functionally to translate complex data into strategic pricing and promotional recommendations and share expertise within the global Data, Analytics & AI community.
Advanced degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or equivalent discipline.
7 to 10 years of commercial experience developing models and algorithms with proven business impact.
Strong SQL and Python skills; proficiency with data visualization tools (e.g., Looker, Tableau) and ML orchestration systems such as Vertex AI Pipelines or Airflow.
Experience with pricing elasticity modeling, multivariate statistical modeling, time-series forecasting, machine learning techniques, and cloud platforms (GCP, AWS).
Experienced data scientist with deep expertise in pricing strategies and promotions optimization in retail or FMCG sectors.
Proficient in integrating advanced ML/AI models, including Large Language Models, with cloud-native orchestration for scalable production solutions.
Ability to manage multiple deliverables across stakeholders and communicate complex analytics to technical and non-technical audiences effectively.