Sr. Analyst, Global Data Science Supply Chain

BE/BTech (Computer Science or Information Technology preferred) and/or MBA/PGDM in Business Analytics/Data Science, or MSc/MStat in Economics/Statistics or related fields.

4+ years of experience building statistical/ML models and translating outputs into actionable business insights and impact.

Hands-on experience with modeling techniques such as linear regression, ridge/lasso, logistic regression, random forest, gradient boosting, SVM, K-Means, hierarchical clustering, and Bayesian regression.

Strong coding skills in Python (mandatory) and SQL.

Hands-on experience applying Artificial Intelligence and Generative AI, including integrating LLMs into analytics workflows for insight generation, unstructured data analysis, feature engineering, and decision support.

Adept at using agentic coding platforms to develop rapidly (e.g., Cursor, Antigravity or similar)

using GitHub and Airflow for development workflows and deployments.

Familiarity with visualization frameworks such as PyDash, Flask, and Plotly (or equivalent).

Strong understanding of cloud platforms such as Google Cloud and Snowflake, including services like Kubernetes, Cloud Build, and Cloud Run.

Proven experience working directly with business stakeholders in a client-facing or business-partnering role in a dynamic environment.

Familiarity with Supply Chain processes across Demand and Supply

Understanding of Supply Chain specific datasets and their impact on processes

Knowledge of the CPG industry and typical metrics & KPIs

Strong understanding of the advantages/limitations of ML methods in real business settings

Practical experience implementing Optimization algorithms to solve a business need

Practical experience implementing Simulation algorithms such as simpy

Deeper hands-on experience with GCP products (BigQuery, Looker/Data Studio, Kubernetes, Cloud Build/Run)

operationalizing models in cloud environments using Airflow + Docker end-to-end

Knowledge and experience in UI/UX design specifically as it relates to visualising advanced analytics outputs

Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Remote