Southwest Airlines is looking to solve business problems through data-driven solutions, delivering scalable impact, eliminating friction, increasing efficiency, and enhancing experiences for Customers and Employees by leveraging Artificial Intelligence and data science.
Requirements
- Knowledge of foundational statistics and math concepts
- Knowledge of descriptive, diagnostic, predictive and prescriptive statistical methods and their differences
- Knowledge of data science project life cycle including engaging stakeholders to define the problem, solution definition, project planning, and executing per plan
- Basic knowledge of, at a broad level, how technology platforms and architectures are applicable to data science
- Skilled in compiling, cleaning, transforming, analysis, and visualization of large-scale data
- Skilled in statistical and scripting programming languages
- Preferred knowledge and/or experience with AWS Sagemaker and AWS Bedrock
- Preferred knowledge of Tableau and VS Code
Responsibilities
- Works on moderately complex data science, machine learning, traditional artificial intelligence, generative artificial intelligence or optimization projects, working with stakeholders to understand contextual problems quickly and define, analyze, and deliver solutions based on business objectives
- Applies math, statistics, and/or modeling methods to create solutions which can be utilized in descriptive, diagnostic, predictive, and prescriptive analytics
- Supports the ongoing effectiveness of models in use by stakeholders
- Formulates solutions and communicates results from data analysis and models with some assistance from more experienced Data Scientists
- Supports the ongoing development of analytical IQ by collaborating with and contributing to the Southwest Airlines data science community
- Must be able to meet any physical ability requirements listed on this description
- May perform other job duties as directed by Employee's Leaders
Other
- U.S. citizenship or current authorization to work in the U.S. required and no current or future work authorization sponsorship available
- High School Diploma or GED required
- Bachelor's Degree in Mathematics, Computer or Data Sciences, Information Technology or similar fields of study; or equivalent advance level experience
- Must maintain a well-groomed appearance per Company appearance standards as described in established guidelines
- Must be at least 18 years of age
