SENIOR DATA SCIENTIST, GLOBAL DATA SCIENCE

Senior Data Scientist, Global Data Science

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.

Title: Senior Data Scientist, Global Data Science

Brief Introduction - Role Summary/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, Price Elasticity, Promotion Analytics, Marketing Mix Modeling.

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 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 and model output 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
• 5+ years of experience in building statistical 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) and SQL
• Knowledge of using GitHub, Airflow for coding and model deployments
• Understand visualization frameworks PyDash, Flask, PlotLy
• 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 Mix Models
• 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.
• 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

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 should you require accommodation.