SENIOR DATA SCIENTIST, GLOBAL DATA SCIENCE (167669) Colgate-Palmolive
Colgate-Palmolive
Office Location
Full Time
Experience: 5 - 5 years required
Pay:
Salary Information not included
Type: Full Time
Location: Maharashtra
Skills: Machine Learning, Predictive modeling, Price Elasticity, Marketing Mix Modeling, Data extraction, Data Preparation, Data Mining, Statistical modeling, model validation, airflow, Docker, SQL, Flask, Business Analytics, data science, Economics, Statistics, Linear Regression, Lasso, SVM, Logistic Regression, Python, github, Snowflake, Kubernetes, Artificial Neural Networks, Simulations, Optimization Solutions, Revenue Growth Management, Promotion Analytics, Google Cloud Platforms, Bigquery, Looker, PyDash, PlotLy, Streamlit, Ridge Regression, Random Forest, Gradient Boosting, KMeans Clustering, Hierarchical Clustering, Bayesian Regression, Cloud Frameworks, Google Cloud, Cloud Build, Cloud Run, Budgeting
About Colgate-Palmolive
Job Description
As a Senior Data Scientist in the Global Data Science & Advanced Analytics team at Colgate-Palmolive, your role will involve leading projects within the Analytics Continuum. You will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions to address business questions with clear dollar objectives. Your work will have a significant impact on revenue growth management, price elasticity, promotion analytics, and marketing mix modeling. Your responsibilities will include: - Conceptualizing and building predictive modeling solutions to address business use cases - Applying machine learning and AI algorithms to develop scalable solutions for business deployment - Developing end-to-end business solutions from data extraction to statistical modeling - Conducting model validations and continuous improvement of algorithms - Deploying models using Airflow and Docker on Google Cloud Platforms - Leading pricing, promotion, and marketing mix initiatives from scoping to delivery - Studying large datasets to discover trends and patterns - Presenting insights in a clear and interpretable manner to business teams - Developing visualizations using frameworks like Looker, PyDash, Flask, PlotLy, and streamlit - Collaborating closely with business partners across different geographies To qualify for this position, you should have: - A degree in Computer Science, Information Technology, Business Analytics, Data Science, Economics, or Statistics - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for coding and statistical modeling - Hands-on experience with statistical models such as linear regression, random forest, SVM, logistic regression, clustering, and Bayesian regression - Knowledge of GitHub, Airflow, and visualization frameworks - Understanding of Google Cloud and related services like Kubernetes and Cloud Build Preferred qualifications include experience with revenue growth management, pricing, marketing mix models, and third-party data. Knowledge of machine learning techniques and Google Cloud products will be advantageous for this role. Colgate-Palmolive is committed to fostering an inclusive environment where diversity is valued, and every individual is treated with respect. As an Equal Opportunity Employer, we encourage applications from candidates with diverse backgrounds and perspectives. If you require accommodation during the application process due to a disability, please complete the request form provided. Join us in building a brighter, healthier future for all.,