Senior Data Scientist
Anheuser-Busch InBev (AB InBev) (company site, opens in a new tab)5+ yrsOn-siteDirect career pageEst. 22–35 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end data science projects including data collection, model development, deployment, and monitoring across multiple AB InBev markets.
- Develop and maintain robust, reusable Python-based ML pipelines and improve code quality and standardization.
- Collaborate with business stakeholders to translate analytical insights into actionable business strategies; mentor junior data scientists and drive AI innovation at scale.
Minimum Requirements
- 5+ years of hands-on experience in data science or analytics with a proven track record of ML model building and deployment in real-world scenarios.
- Bachelor's or Master's degree in Computer Science, Information Systems, AI, ML, Data Science, Economics or related fields.
- Mandatory skills: advanced Python programming for ML pipelines, intermediate to advanced SQL, experience with Git and at least one cloud platform (Azure, AWS, GCP, Databricks).
- Expertise in multiple statistical and ML techniques (classification, regression, forecasting, recommendation, optimization) and Python OOP for standardized libraries.
Ideal Candidate Profile
- Experienced in leading AI/ML projects end-to-end with operational ownership for production-ready solutions.
- Strong collaborator able to integrate analytics into business workflows and communicate complex concepts to non-technical stakeholders.
- Familiarity with scalable AI product development and mentorship roles, with an interest in continuous learning of emerging AI methodologies and tools.