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Well-known brand, metro Bangalore, and a generalist Data Scientist title increase applicant competition.
Retail pricing/FMCG experience and pricing expertise increase domain specificity and reduce transferability.
Explicit 7–10 years, advanced degree, and many mandatory ML and engineering skills create strict filters.
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Develop and deploy machine learning models focused on pricing, promotions, and demand forecasting to drive revenue growth and cost reduction in the Americas business.
Collaborate across functions to translate business needs into predictive models and actionable insights using cloud-based analytics and AI tools.
Contribute to a global Data, Analytics & AI community by sharing best practices and documenting code and methodologies for reuse.
7 to 10 years of experience developing models and algorithms in a commercial setting with proven business impact.
Advanced degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or equivalent.
Strong skills in SQL and Python; proficiency in data visualization tools (Looker, Tableau, Streamlit) and cloud platforms (GCP, AWS) required.
Experience with pricing elasticity modeling, promotional campaign optimization, machine learning orchestration tools (Kubeflow, Vertex AI Pipelines, Airflow), and large language model implementation.
Experienced in retail or FMCG domains with focus on pricing and promotional analytics.
Proficient in advanced statistical modeling (time-series forecasting, Bayesian methods) and machine learning techniques (Random Forest, SVM, boosting, bagging).
Able to manage multiple deliverables and stakeholders in an agile, collaborative environment leveraging state-of-the-art cloud and ML engineering practices.