Key Responsibilities:
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.
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, prospects, and risks through advanced data analysis.
Present insights and recommendations to senior stakeholders in a transparent and concise manner.
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.
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