Data Scientist

Established in 1806 as a small soap and candle business in New York City, Colgate-Palmolive is now a truly global company with products sold in over 200 countries and territories under such internationally recognized brand names as Colgate, Palmolive, Softsoap, Irish Spring, Protex, Sorriso, Kolynos, elmex, Tom's of Maine, Sanex, Ajax, Axion, Soupline, Haci Sakir, Suavitel, PCA SKIN, EltaMD, Filorga and Hello as well as Hill's Science Diet and Hill's Prescription Diet.Colgate-Palmolive is a leading consumer products company that serves hundreds of millions of consumers worldwide with brands and products across four core businesses - Oral Care, Personal Care, Home Care and Pet Nutrition. We are committed to offering products that make lives healthier and more enjoyable, and programs that enrich communities around the world.Every day millions of people trust our products to care for themselves and the ones they love. Our goal is to use our technology to create products that will continue to improve the quality of life for our consumers wherever they live.A career at Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness.**Job Title**:Data Scientist**Travel Required?**:No Travel**Date**:Jun 6, 2025- Hybrid- No Relocation Assistance OfferedJob Number # - 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 nameJoin 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.- 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. The Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects**Main Responsiblities**- 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**Required Qualifications**- 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.- Advance en