Data Scientist, Commercial Data Science and AI

At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience.

The CDS&AI team is seeking a Data Scientist to contribute to the development and delivery of data-driven solutions that improve commercial and operational performance. In this role, you will work within a collaborative team environment to translate business problems into analytical solutions, with opportunities to grow into owning end-to-end projects over time.

Primary Functions

• Contribute to the development and enhancement of models and analytical tools (e.g., forecasting, optimization, performance measurement)
• Partner with senior data scientists and business stakeholders to identify key business problems and generate actionable insights
• Build, maintain, and optimize data pipelines and data assets to support analytics and modeling workflows
• Apply statistical modeling and machine learning techniques to solve business problems
• Support model monitoring, validation, and performance tracking
• Translate analytical findings into clear, digestible insights for stakeholders
• Contribute to ad hoc analyses, including support for executive-level requests
• Collaborate closely with teammates while developing the skills to independently drive analytical workstreams
• Shape business decisions by translating analytical findings into clear, data-driven insights and recommendations for stakeholders
• Operate with urgency and adaptability in a fast-paced environment, effectively balancing multiple priorities and evolving business needs
• Demonstrate curiosity and a growth mindset, proactively seeking opportunities to deepen domain expertise and take increasing ownership of analytical work
• Interest in becoming an airline domain expert

• 3–5 years of experience in data science, analytics, or a related quantitative field
• Demonstrated experience working on end-to-end analytical problems, from data preparation through insight generation
• Proficiency in Python and SQL, and familiarity with common machine learning libraries
• Hands-on experience with data engineering concepts, including building and maintaining data pipelines, working with large datasets, and managing data transformations
• Familiarity with software development best practices, including version control (e.g., Git), code organization, and reproducibility
• Experience using agentic AI tools or coding assistants (e.g., Kiro, Amazon Q, GitHub Copilot) to improve development productivity
• Exposure to machine learning and/or GenAI/LLM use cases
• Ability to communicate analytical results clearly to technical and non-technical audiences
• Proven ability to work collaboratively in a team environment and manage multiple priorities
• 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.

• Bachelor’s degree in data science, statistics, mathematics, computer science, or a related quantitative field
• Experience building or maintaining production-grade data pipelines or data products
• Experience working with cloud platforms (e.g., AWS, Azure) and modern data ecosystems
• Exposure to deploying models or analytics solutions in a production environment
• Familiarity with MLOps concepts (model versioning, monitoring, CI/CD workflows)
• Experience with visualization tools and storytelling
• Demonstrated curiosity and a strong desire to grow into more complex problem-solving and independent ownership