Key Responsibilities:

1. Machine Learning & Advanced Analytics

- Design, develop, deploy, and monitor machine learning models.
- Build predictive models for customer acquisition, propensity scoring, response modeling, cross-sell/up-sell, churn prediction, customer lifetime value (CLV), and risk-adjusted marketing strategies.
- Apply statistical techniques and machine learning algorithms to solve complex business problems.
- Conduct model validation, performance monitoring, and periodic recalibration. • Develop customer segmentation frameworks and targeting strategies.
- Design and execute A/B testing and experimentation frameworks.

2. Data Analysis & Business Insights

- Perform exploratory data analysis (EDA) on large structured and unstructured datasets. • Build automated reporting and analytical frameworks to support business decision-making. • Identify trends, opportunities, and risks through advanced data analysis.
- Present insights and recommendations to senior stakeholders in a explicit and concise manner.

3. Data Engineering & Cloud Analytics

- Optimize SQL queries and data processing for large-scale datasets.
- Collaborate with data engineering teams to ensure high-quality and reliable data assets.



• Ensure data governance, quality, and consistency across analytical solutions.

4. Model Deployment & MLOps

- Support end-to-end model lifecycle management from development to production deployment.
- Work with engineering teams to operationalize machine learning solutions.
- Implement model monitoring, drift detection, and performance tracking mechanisms. • Contribute to best practices in MLOps and model governance.

Preferred Tech Stack:

- Programming & Data Analysis Python, SQL, PySpark, Jupyter Notebook
- Machine Learning & Statistical Modelling - Scikit-learn, XGBoost, LightGBM, CatBoost, Statsmodels, Regression, Clustering, Mlflow, Neural Networks
- Customer Analytics - Customer Segmentation, Propensity Modelling, Cross-Sell Models, Churn Prediction, Customer Lifetime Value (CLV), Campaign Measurement, Attribution Modelling, A/B Testing, Uplift Modelling, Recommendation Systems
- Data Warehousing & Databases - Google BigQuery (Mandatory), PostgreSQL, MySQL, SQL Server
- Cloud Platforms – BigQuery, Cloud Run, Vertex AIRole & responsibilities

Preferred candidate profile

📌 Senior Data Scientist (Mumbai)
🏢 TeamLease Digital
📍 Mumbai