Description

We are seeking a highly experienced Senior Modeler to lead the development and enhancement of advanced marketing analytics models. In this role, you will architect and deliver propensity models, next-best-action (NBA) engines, customer segmentation frameworks, and campaign response models. You will embed fairness testing and explainability throughout the model development lifecycle and guide the full model governance process — from design through validation, deployment, and monitoring.

Responsibilities

- Lead end-to-end design, development, and optimization of member propensity models, next-best-action engines, segmentation frameworks, and campaign response models.
- Embed bias testing, fairness assessments, and model explainability (e.g., SHAP, LIME) at each stage of model development and approval workflows.
- Establish and drive model lifecycle best practices including independent validation, performance benchmarking, drift monitoring, and documentation standards.
- Define and enforce model governance protocols, ensuring all models meet regulatory, compliance, and model risk management requirements.
- Translate complex customer behavior data into actionable segmentation strategies that support targeted marketing campaigns.
- Partner with marketing, data engineering, and technology stakeholders to align modeling solutions with business objectives and data infrastructure.
- Mentor junior and mid-level modelers,



conducting code reviews and providing technical guidance on methodology and implementation.
- Communicate model findings, limitations, and recommendations clearly to executive and non-technical audiences.

Continuously evaluate emerging modeling techniques and incorporate advances in machine learning, causal inference, and uplift modeling into the team's toolkit

Qualifications

- 6–7+ years of hands-on experience in quantitative modeling, data science, or analytics, with a solid focus on marketing or customer analytics.
- Demonstrated expertise building propensity models, segmentation models, uplift/causal models, and campaign measurement frameworks.
- Deep proficiency in Python; experience with ML libraries such as scikit-learn, XGBoost, LightGBM, and statistical modeling packages.
- Strong grounding in model explainability tools (SHAP, LIME, partial dependence plots) and bias/fairness testing methodologies.
- Experience with model validation, independent model review, and model risk governance processes.
- Proficiency working with large-scale data platforms (e.g., Spark, Databricks, Snowflake, or equivalent).
- Excellent communication skills with the ability to present complex analytical concepts to diverse stakeholders.
- Exposure to A/B testing, multi-armed bandit frameworks, and experimental design for marketing measurement is highly preferred.
- Advanced degree (Master's or PhD) in Statistics, Mathematics, Computer Science, Economics, or a related quantitative discipline preferred.

📌 Senior Manager (Gurugram)
🏢 EXL
📍 Gurugram