Data Scientist [T500-19332]

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.

Primary Functions:

• Responsible for the design, development and maintenance of ML / AI models and tools (e.g., forecasting, optimization, performance, etc.)
• Add explainability to model predictions & outcomes thereby making insights actionable
• 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
• 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
• Explore industry & academic publications, research papers & adopt the same for CX business use cases
• Hands-on experience with data modeling, design tools, and business case delivery
• Ensure alignment with business requirement & present analysis to business users in a digestible way

Skills Required:

• 2 – 4 Overall years of data science experience delivering insights for business projects
• Bachelor’s degree in data science, statistics, mathematics, computer science or engineering discipline
• Demonstrated professional experience in statistics & relevant 2 – 3 yrs of ML algorithms on an Enterprise business use case.
• Proficient in Python and data-focused packages (e.g., Pandas, Numpy)
• Proficiency in SQL
• Embraces diverse people, thinking, and styles
• Consistently makes safety and security, of self and others, the priority

What will give you a Competitive edge:

• Knowledge of Deep Learning
• Experience in designing & implementing ML/AI models for cloud-based solutions on leading cloud providers such as AWS, Azure, etc.
• Knowledge of ML lifecycle management platforms like ML Flow, AWS Sagemaker, etc.
• Ability to code with software engineering best practices of reusability, modularity, object oriented, etc.
• Exposure to version control (Git) and collaborative coding practices.
• Self-motivated and take pride in building great experiences for users, whether they are employees or customers.
• Resourceful in finding the data and tools you need to get the job done
• Not afraid to ask for help when you need it, or help teammates when they need a boost
• Intensely curious about finding a solution to the pain-points of our customers along the entire travel experience