Sr. Analyst, Global Data Science Supply Chain
Colgate-Palmolive Company (company site, opens in a new tab)4+ yrsMumbaiOn-siteDirect career pageEst. 14–24 LPA
Posted on 6 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end development and deployment of predictive models, simulations, and optimization solutions for global supply chain functions including Procurement, Manufacturing, NetOps, Customer Service, and Logistics.
- Drive projects from scoping through execution and adoption, working closely with global, cross-functional supply chain teams and business stakeholders.
- Develop and operationalize scalable ML/AI models using Python, SQL, cloud platforms (Google Cloud), and ML deployment tools like Airflow, Docker, and Kubernetes.
Minimum Requirements
- Bachelor's degree in Computer Science, Information Technology, Business Analytics/Data Science, Economics, Statistics, or related fields.
- 4+ years of experience in building statistical and machine learning models with demonstrated impact.
- Proficiency in Python (mandatory), SQL, and hands-on experience with ML techniques including regression, random forest, gradient boosting, SVM, clustering, and Bayesian methods.
- Experience deploying models in cloud environments (Google Cloud Platform), using Airflow, Docker, and modern development workflows (GitHub).
Ideal Candidate Profile
- Experience with supply chain processes, data, and metrics, especially within the CPG (consumer packaged goods) industry.
- Proven ability to collaborate directly with business stakeholders and translate analytics into actionable insights driving measurable business value.
- Technical aptitude in advanced analytics including working with generative AI, agentic coding platforms, and full-stack tool prototyping for business applications.