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Job Number #167669 - Mumbai, Maharashtra, India
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.
Title: Senior Data Scientist, Global Data Science
Brief introduction - Role Summary/Purpose (3-4 sentences max.):
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
Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects
Responsibilities (4-6 bullet points):
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
Ready to work closely with business partners across geographies
Required Qualifications (3-5 bullet points):
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 (3-5 bullet points):
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.
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