Senior Data Scientist [T500-20864]

About Delta Tech Hub :

Delta Air Lines (NYSE : DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.

Job Description :

Customer Experience (CX) organization is founded on delivering the Delta Brand experience via welcoming, elevating, and caring service, offering distinctive and premium choices to our customers across all destinations, and personalizing the experience to create memorable connections and deepened relationship with Delta.

CX’s Center of Excellence team is established to unlock new capabilities for Personalization, Insights, and Analytics. This team will deliver tangible, immediate incremental value to Delta using Artificial Intelligence / Machine Learning, simulation, optimization, visualization, and advanced analytics

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) :