Job 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 strong 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