Description

The Senior Data Scientist serves as the technical leader for advanced analytics and data science within the Customer Experience organization. This role tackles the most complex CX and service-related analytical problems, mentors other data scientists, and partners closely with business leaders to ensure analytical work drives measurable impact.

This role balances deep hands-on technical work with thought leadership, solution design, and analytic rigor.

Responsibilities

Advanced Modeling & Analytics Leadership

- Design, build, and deploy advanced analytical and machine learning solutions for CX and product support use cases
- Lead complex modeling efforts (e.g., predictive risk, outcome forecasting, driver analysis, optimization)
- Evaluate emerging AI and ML techniques for practical application within a regulated enterprise environment

Technical Direction & Mentorship

- Provide technical mentorship and review for other data scientists
- Establish best practices for modeling, experimentation, documentation, and validation
- Influence analytic standards across CX-focused data science initiatives

Partnership & Translation

- Partner with Senior Business Data Analysts & Data Engineers to translate business problems into analytically robust approaches




- Communicate complex analytical results clearly to non-technical stakeholders
- Support executive and senior leader understanding of predictive and AI-driven insights

Data & Platform Collaboration

- Collaborate with Data Engineers to ensure data pipelines, feature stores, and ML workflows are fit for purpose
- Contribute to AI-enabled self-service analytics and React-based front-end experiences where appropriate

Qualifications

- Master’s degree or higher in Data Science, Applied Mathematics, Statistics, Engineering, or related field (or equivalent experience)
- 9+ years of hands-on experience in data science or advanced analytics roles
- Expert proficiency in Python and solid SQL capabilities
- Proven experience building and validating ML models in enterprise environments
- Experience working with Snowflake, EDW, and complex enterprise data sources

Preferred Qualifications

- Prior experience leading analytics efforts in CX, service operations, or B2B environments
- Exposure to AI prototyping, model deployment, or ML platform integration
- Experience operating under regulatory, security, or government data constraints

📌 Senior Data Scientist Customer Experience (India)
🏢 Leading
📍 India