At Delta Air Lines, the Customer Experience Design (CXD) organization is focused on delivering the Delta Brand experience through personalized customer interactions. The Customer Insights & Prioritization (CXI&P) team aims to unlock new capabilities in Personalization, Insights, and Analytics using AI/ML, simulation, optimization, visualization, and advanced analytics to deliver incremental value. The Principal Data Scientist will develop data-driven solutions to continually improve the customer experience by transforming data, providing insights, and performing model monitoring and calibration.
Requirements
- Hands-on experience with Generative AI (Gen AI), Large Language Models (LLMs), and Natural Language Processing (NLP), including fine-tuning, prompt engineering, and deploying models like GPT, BERT, or similar in-production environments. Ability to leverage these technologies to build intelligent applications such as chatbots, summarization tools, or content generation systems.
- Strong understanding of statistical modeling, A/B testing, and data visualization
- Skilled in feature engineering, generating statistical models, and measuring feature importance and model evaluation
- Proficiency in Python, R, SQL, and machine learning libraries
- Experience in executing end-to-end analytical projects with minimal oversight, from problem definition to solution delivery
- Working knowledge of statistical/machine learning tools (e.g., SAS, R, TensorFlow) preferred
- Experience in designing data models for cloud-based solutions from leading cloud providers such as AWS, Azure, etc.
Responsibilities
- Responsible for the development and maintenance of models and tools (e.g., forecasting, optimization, performance, etc.)
- Collaborates with CX Advanced Analytics 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
- Detailed understanding of data science techniques, calibrating and enhancing existing models, and monitoring model performance
- Leverage emerging technologies and identify efficient and meaningful ways to deliver meaningful insights to the business
- Hands-on experience with data modeling, design tools, and business case delivery
- Design and implement robust statistical models and machine learning algorithms to solve complex business problems
- Presents analysis to business users in a digestible way
Other
- 6+ years of relevant hands-on experience in data science or advanced analytics, with a demonstrated ability to execute complex projects independently
- Consistently prioritizes safety and security of self, others, and personal data.
- Embraces diverse people, thinking, and styles.
- Possesses a high school diploma, GED, or high school equivalency.
- Is at least 18 years of age and has authorization to work in the United States.
