No Relocation Assistance Offered Job Number #169041 - 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 and Advanced Analytics team at Colgate-Palmolive is dedicated to developing, deploying, and delivering internally built analytics capabilities and solutions at scale that drive business growth and impact by answering critical business questions or analytical use cases. As the demand for these analytical capabilities and solutions increase, Colgate-Palmolive is investing in implementing geographically based Advanced Analytics Pods to support the scaling and execution of these capabilities in a faster and more efficient manner around the world. In this case, the use cases and analytics capabilities are: Price and Promo Analytics, Promo Effectiveness and Efficiency Analytics, and Marketing and Media Effectiveness Analytics (MME Analytics). There will be three Advanced Analytics Pods to ensure coveraging and supporting the needs of the Colgate-Palmolive Divisions. These Pods will have a Colgate-Palmolive lead (this role) and manage a number of external partners (Data Scientists) to implement and deliver the right analytics capabilities. This role will be in charge to lead and drive the “Americas Pod” supporting the North America, Latin America, and Hill’s Pet Divisions analytics needs. This role will report directly to the VP of Global Data Science & Advanced Analytics and will work closely with the Global Advanced Analytics Pod (based in India) to ensure the accurate application and implementation of the analytics solutions internally developed. As the lead of the Advanced Analytics Pod, the Senior Manager is also responsible to manage and lead the team of external vendors - Data Scientist staff augmentation - to support the implementation and execution of the analytics capabilities for the Pod. This role will work very closely with the Division Analytics teams to understand the analytics needs and business requirements to deploy, execute, and deliver the right analytics solutions that address those needs and requirements. It will also help prioritize the efforts accordingly to meet the business needs and timing of delivery. The role involves working closely with business teams to understand their needs, formulate hypotheses, and connect data-driven insights to business problems. Acting as an intermediary between the business and data scientists/analysts, it ensures that the appropriate use cases are addressed. Utilizing both internal and external data sources, such as Syndicated Market Data and Point of Sales data, the role develops and supports analytics and insights-based services and solutions. Leveraging strong expertise in statistical data analytics and machine learning/AI with experience in CPG analytics (e.g. PnPs, Promo Analytics, MMMs,... etc), he/she will implement or build predictive models and algorithms that drive business performance. Additionally, the role involves efficiently managing and working with large datasets to obtain and communicate business insights effectively. **Main Responsibilities:** + Leads the study scoping and delivery of Pricing and Promotion Analytics, Marketing and Media Effectiveness (e.g. MMMs, Digital Deep Dives,...) + Conceptualizes, implements, and/or builds predictive modeling, statistical models, machine learning models, simulations, and optimization solutions to address business questions or use cases, using as foundation the currently available analytics workbench + Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business + Plays a critical role in the Governance, improvement, and development of our internal analytics solutions working with the other Advanced Analytics Pods + Able to interpret analytics results and present insights in an easy to interpret way to the business teams + Understands business needs and questions and identifies the right analytics capabilities to solve them + Simplifies complex analyses into actionable recommendations + Translates the analytics and integrates and implements learnings into business processes + Act as a bridge between the business and data scientists and data analysts from Global and the Division + Identifies use cases to be addressed by data scientists, co-develops analytics solutions + Develop and manage visualization deliverables / web applications that bring to life the data sets allowing for drill downs,diagnostics and self-service by the functions in the center and on the ground. + Assist with change management needs (e.g., training, communications, etc.) as part of roll-out and on-going support of analytic tools, processes and services. + Ready to work collaboratively with business partners across geographies **Required Qualifications:** + Graduation [ BE or BTECH ], BSc. in Economics, B.STAT in Statistics. + 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 **Preferred Qualifications:** + Masters in Statistics, MSc in Economics, MBA in Business Analytics / Data Science + 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, ideally in the geographies this role will support **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, 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 (https://docs.google.com/forms/d/e/1FAIpQLSdaxk\_eF4utznQoVHlxmL9jVFJbOkM4Oe5CAdKOg-h9EPdLfg/viewform) should you require accommodation. \#LI-Hybrid