Southwest Airlines Co.

  • Senior Data Scientist

    Post Begin Date 2 weeks ago(10/5/2018 5:10 PM)
    Requisition ID
    Airport Code
    Employment Type
    Regular Full-Time
    28-Corporate Strategy & Planning
  • Overview

    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.


    A Senior Data Scientist in Southwest Airlines' Corporate Strategy Department serves as an internal consultant and subject matter leader in data science, responsible for the application of data, math, and computer science concepts to collect, organize, analyze, summarize, and interpret data; create knowledge; or develop predictive and prescriptive capabilities which drive actionable decisions and generate competitive advantage.



    • Leads moderately or highly complex data science projects, working with business Customers to understand contextual problems quickly and define, analyze, and deliver solutions based on business objectives
    • Serves as subject matter leader on data science methodologies and tools
    • Leads informal teams to apply math, statistics, and/or advanced modeling methods in order to create solutions which can be utilized in descriptive, diagnostic, predictive, and prescriptive analytics
    • Interacts with cross-functional leaders across multiple and concurrent projects
    • Drives the formulation of solutions and communicates solutions and options for highly complex problems
    • Creates and communicates results from highly complex data analysis and models
    • Serves as a subject matter leader for analytic models and monitors the ongoing effectiveness of models in use by business Customers
    • Drives the ongoing development of the Southwest Airlines data science center and 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.



    • High School Diploma, GED or equivalent education required.
    • Must be at least 18 years of age.
    • Must have authorization to work in the United States as defined by the Immigration Reform Act of 1986.


    • Bachelor’s Degree required
    • Graduate Degree in Analytics, Applied Mathematics, Business, Computer Science, Economics, Engineering, Information Systems, Math, Science, or Statistics is preferred  


    • Minimum 8 years of advanced analytic, data or data science project experience required
    • Minimum 2-5 years of programming experience preferred
    • Minimum 5 years of visualization and presentation (Tableau, PowerPoint, R-Shiny Studio) experience preferred
    • Airline experience preferred

    Other preferred experience: 

    • Experience in data integration using tools such as Alteryx
    • Data science model scripting and programing experience in software like R, Python, FICO Express, SAS, SPSS, C++\
    • Data integration experience in software like SQL
    • Experience in DevOPs skills such as coding in java and HTML
    • Technical experience in cloud-based applications



    • Data science certification preferred





    Advanced Analytic Skills

    • Must be highly proficient in both inductive and deductive reasoning and problem solving approaches
    • Must be highly proficient in learning and understanding contextual problems quickly
    • Must be highly proficient in predictive and prescriptive statistical methods and their differences
    • Must be highly proficient in evaluating which analytic method(s) are appropriate for which type of business problem and make recommendations for innovated solutions
    • Must be highly proficient in test and control methodologies and experimental design

    Data Engineering and Computer Science Skills

    • Must demonstrate experience in acquiring data in both relational and noSQL databases
    • Must be highly proficient in processing and integrating large amounts of data necessary for analysis and modeling
    • Must be highly proficient in one or more scripting and statistical programming languages
    • Must be proficient in how technology platforms and architectures are applicable to data science

    Consulting and communications

    • Must be highly proficient in problem solving, critical thinking, and project management skills
    • Must be highly proficient in leading moderately complex data science projects including acting as a leader in business stakeholder meetings, solution definition and planning, detailed task and deliverable definition and creation, and project schedule creation
    • Must be highly proficient at developing plans and directing informal data science projects teams
    • Must be highly proficient at advising and mentoring data science practitioners on data science methodologies and tools
    • Must be highly proficient in building trust with all levels of Employees up to and including cross-functional leaders and must have the ability to properly manage highly sensitive and confidential information
    • Must highly proficient in communicating in an engaging way with strong verbal and written communication skills for technical and non-technical audiences up to and including cross-functional leaders
    • Must be proficient in adjusting to a variety of situations and in changing approaches/methodology if necessary in order to effectively and successfully meet objectives
    • Must demonstrate a willingness to adapt to new approaches and methodologies prescribed by leadership/management

    Capacity and independence

    • Must be highly proficient in engaging in and leading multiple projects simultaneously
    • Must be able to perform job duties with minimal supervision
    • Must be comfortable with ambiguity and achieve productivity in an unstructured environment through thoughtful question-asking, self-structuring, creative ingenuity, and self-management
    • Must be able to comply with Company attendance standards as described in established guidelines.



    • Must be able to travel up to 15% of the time, as determined by leader and project needs
    • Must be able to work extended hours, as determined  by leader and project needs
    • Must maintain a well-groomed appearance per Company appearance standards as described in established guidelines.


    Southwest Airlines is an Equal Opportunity Employer

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