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 transparent 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