Sr Data Scientist – CX @ Southwest Airlines

Job Information

Job Description:


  • Drives complex data science, machine learning, artificial intelligence, or optimization projects, working with stakeholders to understand contextual problems quickly and define, analyze, and deliver solutions based on business objectives
  • Leads the application of math, statistics, and modeling methods in order to create solutions which can be utilized in descriptive, diagnostic, predictive, and prescriptive analytics
  • Leads the ongoing effectiveness of models in use by stakeholders
  • Drives the formulation and communication of solutions and options for highly complex business problems
  • Supports the ongoing development of analytical IQ by collaborating with and contributing to the Southwest Airlines data science community
  • Provides mentorship and guidance to junior team members and reviews their work to ensure quality deliverables
  • Acts as a thought leader, interacting with cross functional leaders across multiple concurrent projects and leveraging past experience to influence business strategy
  • May perform other job duties as directed by Employee’s Leaders

Knowledge, Skills and Abilities

  • Expert knowledge of developments in data science and adjacent fields and their application towards the domain or department
  • Expert knowledge in statistics and math concepts
  • Expert knowledge of data science project life cycle including engaging stakeholders to define the problem, solution definition, project planning, and executing per plan
  • Intermediate 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
  • 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
  • Ability to evaluate which data science, machine learning, artificial intelligence or optimization techniques and methods are appropriate for a business problem in a demonstrated way and is seen as a subject matter expert when making recommendations for solutions
  • Ability to collaborate with vendors and evaluate their platforms, solutions, or techniques
  • Ability to adjust to a variety of situations and support other team members in adopting new approaches and methodologies if necessary in order to effectively meet business objectives


  • Required: 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


  • Expert level experience, expansive and far reaching knowledge in:
    • Mathematics and statistics principles and techniques
    • Programming languages and query writing for large-scale analysis (Python, SQL, etc.)
    • Data analysis, advanced analytics, data science, machine learning, artificial intelligence, or optimization project experience
    • Data pipeline, data science and/or relevant programming
    • Visualization and presentation development and delivery
    • Solving ambiguous and complex problems through a systems thinking approach
    • Building relationships and trust across functional organizations
    • Mentoring and upskilling/reskilling team members


  • N/A

Physical Abilities

  • Ability to perform work duties from [limited space work station/desk/office area] for extended periods of time
  • Ability to communicate and interact with others in the English language to meet the demands of the job
  • Ability to use a computer and other office productivity tools with sufficient speed and accuracy to meet the demands of the job

Other Qualifications

  • Must maintain a well-groomed appearance per Company appearance standards as described in established guidelines
  • Must be a U.S. citizen or have authorization to work in the United States as defined by the Immigration Reform Act of 1986
  • Must be at least 18 years of age
  • Must be able to comply with Company attendance standards as described in established guidelines
  • Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information

Experience Level: Mid-Senior
Work From: Hybrid

Company Information

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