- Leads Analytics projects 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

You connect the dots -
- Drive insights from internal and external data for business
- 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 current algorithms, process improvements: while continuously automating processes, optimizing data delivery,



re-designing infrastructure for greater scalability, etc.

Qualifications
What you'll need
- Graduation/Masters in Statistics/ Applied Mathematics/ Computer Science
- 1+ years of experience in building data models and driving insights
- Hands-on/experience on developing statistical models, such as regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering etc.
- Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR
- Knowledge of using GitHub, Airflow for coding and model executions
- Handling, redefining, developing statistical models for RGM/Pricing and/or Marketing Efficiency and communicating insights decks to business
- Validated understanding on tools like Tableau, Domo, Power BI and web apps framework using plotly, pydash, sql
- Experience front facing Business teams (Client facing role) supporting and working wit

📌 Assistant Manager, Business Analytics (Mumbai)
🏢 Colgate Palmolive India
📍 Mumbai