SENIOR DATA SCIENTIST

As a Senior Data Scientist at Colgate-Palmolive, your primary role will be to lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. You will work on a range of projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, and Marketing Mix Modeling. Your responsibilities will include: - Conceptualizing and building predictive modeling, simulations, and optimization solutions to address business questions or use cases - Applying ML and AI to analytics algorithms for scalable solutions across the business - Developing end-to-end business solutions from data extraction to building business presentations - Conducting model validations and continuous improvement of algorithms - Deploying models using Airflow, Docker on Google Cloud Platforms - Owning Pricing and Promotion, Marketing Mix from scoping to delivery - Studying large amounts of data to discover trends and patterns - Presenting insights in an easy-to-interpret way to business teams - Developing visualizations using frameworks like Looker, PyDash, Flask, PlotLy, streamlit Qualifications required for this role: - BE/BTECH in Computer Science, Information Technology, 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 in coding languages Python and SQL - Knowledge of GitHub, Airflow for coding and model deployments - Understanding of visualization frameworks like PyDash, Flask, PlotLy - Strong understanding of Cloud Frameworks Google Cloud, Snowflake, and services like Kubernetes, Cloud Build Cloud Run - Experience in front-facing Business teams supporting multi-functional teams in a dynamic environment Preferred qualifications include experience in managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models, working with third-party data, knowledge of machine learning techniques, and deployment of models in a Cloud Environment using Airflow, Docker. At Colgate-Palmolive, we are committed to inclusion, developing talent with diverse backgrounds, and fostering an inclusive environment where everyone feels a true sense of belonging. We are an equal opportunity employer dedicated to ensuring that each individual can be their authentic self and contribute meaningfully to our business. As a Senior Data Scientist at Colgate-Palmolive, your primary role will be to lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. You will work on a range of projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, and Marketing Mix Modeling. Your responsibilities will include: - Conceptualizing and building predictive modeling, simulations, and optimization solutions to address business questions or use cases - Applying ML and AI to analytics algorithms for scalable solutions across the business - Developing end-to-end business solutions from data extraction to building business presentations - Conducting model validations and continuous improvement of algorithms - Deploying models using Airflow, Docker on Google Cloud Platforms - Owning Pricing and Promotion, Marketing Mix from scoping to delivery - Studying large amounts of data to discover trends and patterns - Presenting insights in an easy-to-interpret way to business teams - Developing visualizations using frameworks like Looker, PyDash, Flask, PlotLy, streamlit Qualifications required for this role: - BE/BTECH in Computer Science, Information Technology, 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 in coding languages Python and SQL - Knowledge of GitHub, Airflow for coding and model deployments - Understanding of visualization frameworks like PyDash, Flask, PlotLy - Strong understanding of Cloud Frameworks Google Cloud, Snowflake, and services like Kubernetes, Cloud Build Cloud Run - Experience in front-facing Business teams supporting multi-functional teams in a dynamic environment Preferred qualifications include experience in managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models, working with third-party data, knowledge of machine learning techniques, and deployment of models in a Cloud Environment using Airflow, Docker. At Colgate-Palmolive, we are committed to inclusion, developing talent with diverse backgrounds, and fostering an inclusive environment where everyone feels a true sense of belonging. We are an equal opportunity employer dedicated to ensuring that each individual can be their authentic self and contribute meaningfully to our business.