Data Scientist

Department:

Technology

Our Company Promise

We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer.

Job Description:

All of Southwest’s People come together to deliver on our Purpose; Connecting People to what’s important in their lives through friendly, reliable, and low-cost air travel. The Data Scientist delivers on our Purpose by serving as an internal consultant and subject matter expert, responsible for leading the application of statistics/math, business acumen, and computer science concepts to collect, organize, analyze, summarize, and interpret data. This opening is an opportunity to join one of two teams: Integrated Operations or AI Delivery for Customer & Commercial. Both teams work closely with various business units to implement data science, machine learning, and artificial intelligence solutions. Integrated Operations primarily partners with core operational groups across the company, including Network Operations, Ground Operations, and Crew. In contrast, the AI Delivery for Customer & Commercial team focuses on initiatives that enhance the customer experience and support commercial strategies. We’re looking for a Data Scientist who is a strong communicator and comfortable synthesizing and presenting data to support high-impact initiatives that shape the future of Southwest.

 

Additional details: 

• This role allows for voluntary remote work for the majority of your working time within the Dallas-Fort Worth area, with occasional on-site presence at our Corporate Campus for training, meetings, and business needs. This role may also require limited travel for business purposes. 

• U.S. citizenship or current authorization to work in the U.S. required and no current or future work authorization sponsorship available.  

Southwest Airlines is an Equal Opportunity Employer. We continue to look for opportunities to reflect the communities we serve, and welcome applicants with diverse thoughts, backgrounds, and experiences.  

Responsibilities

• Drives moderate to 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 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
• Drives the formulation and communication of solutions for data analysis and models
• 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

Knowledge, Skills and Abilities

• Intermediate Knowledge of statistics and math concepts
• Intermediate knowledge of descriptive, diagnostic, predictive and prescriptive statistical methods and their differences
• Intermediate knowledge of data science project life cycle including engaging stakeholders to define the problem, solution definition, project planning, and executing per plan
• Knowledge of, at a broad level, how technology platforms and architectures are applicable to data science
• Skilled in compiling, cleaning, transforming, analyzing, and visualizing large-scale data
• Skilled in statistical and scripting programming languages
• Ability to communicate in an engaging way with strong verbal and written communication skills for technical and non-technical audiences up to and including executives with assistance from more experienced data scientists
• Ability to collaborate with vendors and evaluate their platforms, solutions, or techniques
• Ability to evaluate which data science, machine learning, artificial intelligence, or optimization techniques and methods are appropriate for a business problem and make recommendations for solutions
• Ability to coll