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Strong FMCG brand, metro location, generalist Data Scientist title, and broad skillset increase candidate competition.
Requires FMCG/CPG experience and sales/eCommerce use-case expertise, reducing cross-industry transferability.
Explicit 6+ years programming and FMCG experience plus specific ML tech stack mandates stringent shortlisting.
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Lead design, development, and deployment of analytical models from descriptive to prescriptive for business impact.
Collaborate with cross-functional teams including data engineers, analysts, and business partners to define problems, integrate data science solutions, and manage data assets.
Lead analytics roadmap creation and execute statistical and machine learning techniques on large datasets, including experimentation and communication of results to business and senior management.
Minimum 3 years work experience in FMCG/CPG organizations.
Bachelor's degree in Data Science, Mathematics, Computer Science, Engineering, Statistics, Econometrics or related fields.
6+ years experience programming with Python and R.
Proficiency in SQL implementations (PostgreSQL, MySQL, Oracle, DB2) and experience with large datasets and machine learning frameworks (TensorFlow/PyTorch).
Experienced in leading complex analytics and building scalable, interpretable models for business use in FMCG/CPG.
Strong background in programming, statistical and machine learning techniques including supervised/unsupervised models, NLP, and causal inference.
Demonstrated success in sales analytics or eCommerce domain and ability to translate business challenges into data-driven solutions.