Senior Data Scientist

Responsibilities & Primary Functions :

• Responsible for the design, development, and monitoring of ML / AI models (e.g., forecasting, optimization, propensity models, etc.) that directly address the business requirements and drive measurable CX improvements
• Collaborates with COE team and business owners to take a data-driven approach in identifying key customer pain-points, uncover insights, and develop techniques to address these issues
• Demonstrates detailed understanding of data science techniques and machine learning algorithms, calibrating and enhancing existing models, and monitoring model performance
• Write clean, robust, modular Python code for developing ML models
• Leverage Gitlab to store, maintain, and collaborate on project code bases; conduct peer review code of fellow data scientists on the team
• Experience in running experiments applying ML techniques such as Causal ML for evaluating impact of events such as new product launches, failure events, customer pain points, etc.
• Leverage emerging technologies and identify efficient and meaningful ways to deliver meaningful insights to the business
• Presents analysis to business users in a digestible way

What you need to succeed (minimum qualifications) :

Behavioral Competencies :

What will give you a competitive edge (preferred qualifications) :