Job summary
Job post source
This job is directly from Alaska Airlines
Job overview
The Director, Data Science at Alaska Airlines leads the enterprise-wide data science strategy, focusing on AI/ML and Generative AI to drive business value across the company.
Responsibilities and impact
The role involves leading a cross-divisional team to develop AI products, setting strategic goals, partnering with senior leaders and product teams, managing cloud and MLOps tools, and shaping team culture.
Compensation and benefits
The salary range is $190,500 to $295,300 per year with comprehensive benefits including medical, dental, vision, 401k match, bonuses, paid time off, and travel privileges.
Experience and skills
Requires 8 years in data science or related fields, 5 years leadership with 2 years direct people management, proficiency in AI/ML methods, cloud environments, programming languages, and strong communication skills; a bachelor's degree or equivalent experience is required, master's preferred.
Career development
The role offers growth through leading strategic initiatives, managing a diverse team, and engaging with senior leadership across the company.
Work environment and culture
Alaska Airlines values safety, integrity, care, and performance, fostering a culture focused on passion for travel and guest experience.
Company information
Alaska Airlines is a major airline focused on creating an airline people love, with strong corporate teams supporting operational success.
Team overview
The candidate will lead a cross-divisional team of Data Scientists, Data Engineers, and Machine Learning Engineers.
Application process
Applicants must apply by 7:00 PM Pacific Time on 7/23/2025; further application details are on the Alaska Airlines career site.
Unique job features
The role uniquely integrates advanced AI/ML and Generative AI capabilities into enterprise applications and emphasizes AGILE and software development methods for production-level deployments.
Company overview
Alaska Airlines is a major American airline headquartered in Seattle, Washington, known for providing passenger and cargo transportation services across the United States, Canada, Mexico, and Costa Rica. The company generates revenue through ticket sales, loyalty programs, and ancillary services such as baggage fees and in-flight purchases. Founded in 1932 as McGee Airways, it has grown through strategic acquisitions, including the purchase of Virgin America in 2016, which expanded its market presence. Alaska Airlines is recognized for its customer service and operational efficiency, consistently ranking high in on-time performance and customer satisfaction.
How to land this job
Position your resume to showcase leadership in data science strategy, AI/ML development, and cross-functional team management, emphasizing your ability to drive enterprise-wide initiatives at Alaska Airlines.
Highlight experience with advanced AI/ML techniques, cloud platforms like Azure, and production-grade deployment of data science solutions, aligning with the role's technical and strategic demands.
Apply through multiple channels such as Alaska Airlines' official corporate careers page and LinkedIn to maximize application visibility and follow up on status.
Connect on LinkedIn with Alaska Airlines' Data Science, ITS, and Ecommerce team members; use ice breakers like referencing Alaska Airlines' commitment to AI innovation or asking about recent AI/ML projects they've implemented.
Optimize your resume for ATS by including keywords such as 'AI/ML strategy,' 'Generative AI,' 'Azure cloud,' 'MLOps,' 'cross-functional leadership,' and specific tools like 'Python,' 'Spark,' and 'TensorFlow' to pass automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify the best platforms to apply through, and find relevant LinkedIn contacts, allowing you to focus your energy on networking and interview preparation.
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