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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:  Sr.Manager Gblobal Data Science & Adv Analyst

Travel Required?:  Travel - up to 10% of time
Date:  Apr 23, 2025
Hybrid

No Relocation Assistance Offered
Job Number #166728 - 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.

 

About Colgate-Palmolive
Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions!

If this is how you see your career, Colgate is the place to be!
Our dependable household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has contributed to our enduring success.

If you want to work for a company that lives by their values, then give your career a reason to smile...every single day.

 

The Experience
In today’s dynamic technology environment, it is an exciting time to be a part of the Global Data Analytics and Advanced Analytics team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive in this ever-changing landscape.

 

What role will you play as a member of Colgate's Analytics team?

 

This role involves developing predictive models, simulations, and optimizations to address business challenges, leveraging Machine Learning (ML) and Artificial Intelligence (AI) for scalable solutions.

 

It requires managing Pricing and Promotion, Marketing Mix, and Forecasting studies from inception to completion, and presenting clear insights to business teams.

 

Additionally, the role demands close collaboration with business teams to build hypotheses, solve business problems, analyze patterns, and drive consumer behavior insights.

 

A strong understanding of internal and external data sources, such as Syndicated Market Data and Point of Sales, is crucial to develop and support analytics and insights-based services and solutions.

 

The ideal candidate will have experience with statistical data analytics, modeling, and algorithms, and will have worked with large datasets to drive performance and insights reporting.

 

Within the Global Data Science and Advanced Analytics team—which consists of Data Scientists, Data Analysts, Analytics Engineers, and Data Visualization Engineers—this role will act as a bridge between the business and the data science teams, identifying use cases for the data scientists and co-developing analytics solutions.

 

Who are you...
You are an Analytics Expert working on solving Business Questions and work with Analytics Project team

● Problem-solver, with analytic thinking and ability to draw inferences from data modeling to business actionable
● Who can prioritize multiple work assignments and meet deadlines
● Excellent written and verbal communication.

 

You connect the dots -
● Drive insights from internal and external data for business
● Assemble large, sophisticated data sets that meet functional / non-functional business requirements
● Build machine learning models for decision making

 

You are a collaborator -
● Work closely with Division/Global Analytics team
● Work with data and analytics specialists across functions to drive data solutions

 

You are an innovator -
● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
● Good facilitation and project management skills

 

Qualifications
What you’ll need
● Graduation [ BE or BTECH ], BSc. in Economics, B.STAT in Statistics, Masters in Statistics, MSc in Economics, MBA in Business Analytics / Data Science
● 10+ years of experience in driving analytical insights and solutions
● Experience supporting and working with multi-functional teams in a dynamic environment
● Strong hands-on/experience on developing statistical models, such as regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering etc.

● Strong hands on experience on coding languages Python, SQL, PySpark, SparkR

● Deploying models via GitHub, Airflow, Docker and knowledge of MLOps
● Working knowledge on visualization tools like Domo, Looker
● Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment
● Presentation skills (structuring, storytelling, familiarity with ppts)
● Ability to provide structure and think strategically in complex business context
● Build processes supporting data transformation, data structures, metadata, dependency and workload management
● Ability to independently plan and execute deliveries and be comfortable in a client facing role
● Leading a project team for solutioning predictive models and ad-hoc data needs from internal and external sources

● Advanced english level.

 

What you’ll need (Preferred)

● Strong Knowledge of Snowflake, Google Cloud environment components like Cloud Build, Cloud Run, Kubernetes

● Implementation Knowledge of machine learning techniques and their real-world advantages/drawbacks.

● Experience with other cloud services: AWS, Azure, etc

● Working knowledge on visualization tools like Domo, Looker, streamlit

● Implementation Experience with building web applications using Django, Dash, Python Flask, React.js, Angular JS, Plotly

● Experience with third-party data i.e., syndicated market data, Point of Sales, etc.

● Experience working in CPG industry in Data Science and Advanced Analytics roles

 


Our Commitment to Diversity, Equity & Inclusion
Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way.

Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, 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.

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