Experienced Data Scientist – Information Researcher for Southwest Airlines, Focusing on AI, Machine Learning, and Data Analysis for Proactive Maintenance and Efficiency

About Southwest Airlines Southwest Airlines is one of the world's largest and most successful low-cost carriers, known for its commitment to customer satisfaction, operational efficiency, and innovative use of technology. With a strong presence in the United States and a growing international network, Southwest Airlines is a leader in the airline industry. As a forward-thinking organization, we are constantly seeking talented individuals to join our team and contribute to our success. About the Role We are seeking an experienced Data Scientist to join our Information Science and Computerization Group, focusing on the development of data-driven solutions for proactive maintenance and efficiency. As an Information Researcher, you will play a critical role in driving business value through the application of data science, AI, machine learning, and data analysis techniques. If you are passionate about working with data, developing innovative solutions, and collaborating with cross-functional teams, we encourage you to apply for this exciting opportunity. Key Responsibilities Drive moderate to complex data science, AI, machine learning, or development projects, working with partners to understand logical issues rapidly and define, analyze, and deliver solutions based on business objectives. Apply math, statistics, and modeling techniques to develop solutions that can be used in descriptive, diagnostic, predictive, and prescriptive analysis. Ensure the continuous viability of models being used by partners. Drive the definition and communication of solutions for data analysis and modeling. Contribute to the continuous improvement of analytical intelligence by collaborating with and adding to the Southwest Airlines data science community. May perform other work duties as directed by Representative's Chiefs. Essential Qualifications To be successful in this role, you will need to possess the following qualifications: Moderate knowledge of statistics and math concepts. Middle knowledge of descriptive, diagnostic, predictive, and prescriptive statistical strategies and their differences. Middle knowledge of the data science project life cycle, including engaging partners to define the issue, solution definition, project planning, and executing per plan. Knowledge, at a high level, of how technology platforms and architectures are relevant to data science. Ability to collect, clean, transform, analyze, and visualize large-scale data. Ability to work with statistical and programming languages. Ability to communicate effectively with technical and non-technical audiences, up to and including leaders, with support from more experienced data researchers. Ability to assess which data science, AI, machine learning, or development strategies and techniques are suitable for a business issue and make recommendations for solutions. Ability to collaborate with vendors and assess their foundation, solutions, or methods. Ability to adapt to different circumstances and take on new approaches and procedures if necessary to meet business goals effectively. Preferred Qualifications While not essential, the following qualifications would be highly desirable: Advanced degree in a quantitative field, such as mathematics, statistics, computer science, or engineering. Experience working with large datasets and developing data-driven solutions. Knowledge of machine learning algorithms and techniques. Experience with data visualization tools and techniques. Ability to work in a fast-paced environment and prioritize multiple projects simultaneously. Skills and Competencies To succeed in this role, you will need to possess the following skills and competencies: Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work effectively in a team environment. Strong attention to detail and organizational skills. Ability to adapt to changing priorities and deadlines. Career Growth Opportunities and Learning Benefits As a Data Scientist at Southwest Airlines, you will have the opportunity to work on a wide range of projects, collaborate with cross-functional teams, and develop your skills and expertise. We offer a range of learning and development opportunities, including: Training and development programs to enhance your skills and knowledge. Mentorship and coaching from experienced data scientists. Opportunities to present your work and share your expertise with the organization. Access to industry-leading tools and technologies. Work Environment and Company Culture Southwest Airlines is a dynamic and fast-paced organization that values innovation, collaboration, and customer satisfaction. As a Data Scientist, you will work in a team environment, collaborating with cross-functional teams to develop data-driven solutions. We offer a range of benefits, including: A competitive salary and benefits package. A dynamic and supportive work environment. Opportunities for career growth and development. A range of employee benefits, including health insurance, retirement plans, and paid time off. Compensation, Perks, and Benefits We offer a competitive salary and benefits package, including: A salary range of $20-30 per hour. A comprehensive benefits package, including health insurance, retirement plans, and paid time off. A range of employee perks, including access to on-site fitness centers, employee discounts, and more. How to Apply If you are a motivated and talented data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you!