- Leads GLOBAL DATA SCIENCE & ADVANCED ANALYTICS within the Analytics Continuum
- 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
- Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built
- Deploys models using Airflow, Docker on Google Cloud Platforms

You connect the dots -
- Merge multiple data sources and build Statistical Models / Machine Learning models in Price and Promo Elasticity Modeling, Marketing Mix Modeling to derive actionable business insights and recommendation
- Assemble large, sophisticated data sets that meet functional / non-functional business requirements
- Build data and visualization tools for Business analytics to assist them in decision making

You are a collaborator -
- Work closely with Division Analytics team leads




- Work with data and analytics specialists across functions to drive data solutions

You are an innovator -
- Identify, design, and implement new algorithms, process improvements: while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Qualifications
What you'll need
- 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 data 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), R, SQL, PySpark, SparkR
- Solid Understanding of Cl

📌 Data Scientist (Mumbai)
🏢 Colgate Palmolive India
📍 Mumbai