Data Scientist

Requisition ID **169043** - Posted **09/04/2025** - **Analytics** - **Mexico** - **Mexico City** - **Del.Miguel Hidalgo** - **Colgate-Palmolive** - **Travel - up to 10% of time** - **Hybrid**

- No Relocation Assistance Offered
Job Number #169043 - Del.Miguel Hidalgo, Mexico City, Mexico

**Who We Are**

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

**Job Purpose**:

- The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets.
The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive
The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Market Effectiveness, Sales Forecasting etc.
Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects

**Main Responsibilities**:

- Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases
- Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business
- Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations
- Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built
- Deploys models using Airflow, Docker on Google Cloud Platforms
- Own Pricing and Promotion, Marketing Mix, Forecasting study from scoping to delivery
- Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL
- Present insights in an easy to interpret way to the business teams
- Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets
- Ready to work closely with business partners across geographies
- Advance english level

**Required Qualitifications**:

- BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics
- 3+ years of experience in building data models and driving insights
- Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc.
- Hands on experience on coding languages Python(mandatory), SQL
- Knowledge of using GitHub, Airflow for coding and model executions
- Understand visualization frameworks pydash, plotly, ,python flask
- Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run.
- Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment

**Preferred Qualifications**:

- Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Effectiveness
Experience with third-party data i.e., syndicated market data, Point of Sales, etc.
- Working knowledge of consumer packaged goods industry
- Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Experience visualizing/presenting data for partners using: Looker, DOMO, plotly, d3.js, ggplot2, pydash, streamlit etc
- Willingness and ability to experiment with new tools and techniques
- Ability to maintain personal composure and thoughtfully handle difficult situations.
- Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc)
- Knowledge of deployment of models in Cloud Environment using Airflow, Docker
- Ability to work with cross functional teams in IT, Data Architecture to build enterprise level Data Science products.

**Our Commitment to Inclusion**
Our journey begins with our people—developing strong talen