Department:
Artificial Intelligence & Data Transformation
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 Principal Data Scientist supports our Purpose by enabling the deployment of machine learning models and ensuring the accuracy of those models is maintained over time through monitoring under the Artificial Intelligence (AI) Operations Team. This role will initially focus on the framework development of automatic model retraining and retuning. They’ll also support crating processes and procedures for our AI Delivery Teams to advance our machine learning operation practices. The Principal Data Scientist is an organized, analytical thinker excited to drive impactful initiatives across our Operation.
Additional Details:
• The culture of Southwest Airlines means we embrace a flexible workplace and value the camaraderie, collaboration, and innovation that occurs when we come together and interact face-to-face at our vibrant Corporate Campus. This role is a hybrid position based out of our Corporate Campus in Dallas, TX, which requires Employees to work onsite on our Corporate Campus at least three days a week. The Department designates the specific three days of the week Employees must work on-site.
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.
Job Summary
• A Principal Data Scientist serves as an enterprise consultant and subject matter expert, responsible for leading the application of statistics/math, business acumen, and computer science concepts to create unique benefits for customers; and lead the development of innovative data science, machine learning, artificial intelligence, or optimization products using cutting methodologies to generate competitive advantage for the enterprise by driving actionable insights and decisions in support of descriptive, diagnostic, predictive, or prescriptive business needs.
Responsibilities
• Identifies, understands and evaluates the most important opportunities and issues across the organization to be addressed through data science and influences prioritization of those opportunities
• Serves as leader, advisor, and mentor on highly complex data science, machine learning, artificial intelligence, or optimization programs
• Works with customers to understand contextual problems quickly and define, analyze, and deliver solutions based on business objectives
• Serves as a subject matter expert on data science, machine learning, artificial intelligence, or optimization techniques, methodologies, and tools
• Ensures the application of math, statistics, and modeling methods adhering to the best practices and standards in order to successfully deliver quality solutions
• Works with leadership to create the vision for the ongoing development of analytical IQ within the data science community at Southwest Airlines
• Advises cross functional leaders across multiple concurrent projects and leveraging past experience to influence business strategy
• Leads the continuous improvement of data science and analytics by driving the development of replicable solutions and best practices to ensure solutions are leveraged for future projects
• May perform other job duties as directed by Employee's Leaders
Knowledge, Skills, and Abilities
• Innovator level knowledge in advanced analytics, data science, machine learning, artificial intelligence, or optimization concepts with the demonstrated ability to apply this knowledge to further the application of data science to business problems
• Innovator level knowledge of developments in data science and adjacent fields and their application to the domain or department
• Innovator level knowledge of data science project life cycle including engaging stakeholders to define the problem, solution definition, project planning, and executing per plan
• Expert knowledge of, at a broad level, how technology platforms and architectures are applicable to data science
• Skilled in communicating in an engaging way with strong verbal and written communication skills for technical and non-technical audiences up to and including executives
• Skilled in statistical and scripting programming languages
• Ability to apply systems thinking towards designing data science, machine learning, artificial intelligence, or optimization products
Location: Dallas, TX
Posted: Nov. 12, 2024, 8:39 p.m.
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