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Sr Data Scientist

Department:TechnologyOur Company PromiseWe 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:Job SummaryAll 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 Senior Data Scientist delivers on our Purpose by joining the new Artificial Intelligence (AI) Delivery Team within AI and Data Transformation focused on the effective development and deployment of traditional AI and generative AI products in Operations portfolio with an early focus on supporting Technical Operations (Tech Ops) Transformation Initiative. This role will lead the development of data science, machine learning, artificial intelligence, or optimization products which generate competitive advantage for the enterprise by driving actionable insights and decisions in support of descriptive, diagnostic, predictive, or prescriptive business needs. The Senior Data Scientist is a detail-oriented thinker who is ready to be part of meaningful and impactful initiatives and drive the future of Southwest.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.Responsibilities• 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 LeadersKnowledge, 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 objectivesEducation• 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 experienceExperience• 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• Preferred: Experience in developing and deploying AI/ML models, including linear regression, classification, decision trees, ensemble methods, and deep learning (neural networks)• Preferred: Experience in Generative AI models and Large Language Models (LLMs), including both open-source models and API integrations (e.g., GPT, BERT, OpenAI, Hugging Face)• Preferred: Experience in optimizing models through hyperparameter tuning, leveraging grid search, random search, and advanced techniques like Bayesian optimizationLicensing/Certification• N/APhysical 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 jobOther 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 informationPay & Benefits:Competitive market salary from $151,400 per year to $168,200 per year* depending on qualifications and experience. For eligible Leadership and individual contributor roles, additional bonus opportunities are available and awarded at the discretion of the company.Benefits you’ll love:• Fly for free, as a privilege, on any open seat on all Southwest flights (your eligible dependents too)• Southwest will help fund your Retirement Savings Plan with Company contributions up to 9.3% of your eligible earnings**• Potential for annual ProfitSharing contribution in the Southwest Retirement Savings Plan- when Southwest profits, you profit***• Competitive health insurance for you and your eligible dependents (including pets)• Southwest offers health plan coverage options that start from the very first day of employment. You will have 30 days to select and enroll in your health plan with coverage retroactively available to your first day of employment.• Explore more Benefits you’ll love: https://careers.southwestair.com/benefits• Pay amount does not guarantee employment for any particular period of time.• *401(k) match contributions are subject to the plan’s vesting schedule and applicable IRS limits• **ProfitSharing contributions are subject to plan’s vesting schedule and are made at the discretion of the CompanySouthwest Airlines is an Equal Opportunity Employer.Please print/save this job description because it won't be available after you apply.Job Posting End Date12/20/2024
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Average salary estimate

$159800 / YEARLY (est.)
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$151400K
$168200K

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What You Should Know About Sr Data Scientist, Southwest Airlines

At Southwest Airlines, we’re on the lookout for a Senior Data Scientist to join our dynamic Artificial Intelligence (AI) Delivery Team in Dallas, TX. In this pivotal role, you won’t just crunch numbers; you’ll drive innovation that directly impacts our company's commitment to connecting people to what matters in their lives. You’ll be diving deep into the world of data science and AI, developing machine learning and optimization products that fuel our operational strategies and enhance our Technical Operations. Your expertise will be critical in analyzing complex business problems, turning data into actionable insights, and guiding our journey towards better decision-making. Working closely with various stakeholders, you’ll lead projects that harness descriptive and predictive analytics, helping us stay at the forefront of the airline industry. What sets us apart is our culture — we foster collaboration and creativity in a flexible work environment right here at our bustling Corporate Campus. Embrace the challenge of mentoring junior team members and be a thought leader in our data science community as we strive to break new ground together. If you have a passion for analytical thinking, enjoy tackling complex challenges, and want to be part of a team that values respect and a vibrant workplace, the Senior Data Scientist position at Southwest Airlines could be the perfect fit for you! Come help us shape the future of air travel with data-driven innovation.

Frequently Asked Questions (FAQs) for Sr Data Scientist Role at Southwest Airlines
What are the responsibilities of a Senior Data Scientist at Southwest Airlines?

As a Senior Data Scientist at Southwest Airlines, your primary responsibilities include leading complex data science projects, applying advanced mathematics and statistics, and creating analytical solutions that support various business objectives. You will collaborate with stakeholders to address their needs and mentor junior team members to enhance their skills. Additionally, you'll be responsible for evaluating and communicating solutions to intricate business problems, ensuring that data-driven insights are effectively integrated into our company's strategies.

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What qualifications are needed for the Senior Data Scientist position at Southwest Airlines?

To qualify for the Senior Data Scientist position at Southwest Airlines, candidates must hold a Bachelor's Degree in Mathematics, Computer or Data Sciences, Information Technology, or a related field. The role requires expert-level experience in data science, programming languages such as Python and SQL, and proficiency in statistical techniques and advanced analytics. A background in developing and deploying AI/ML models is preferred, as well as experience with generative AI and Large Language Models.

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How does the work culture at Southwest Airlines impact the role of a Senior Data Scientist?

The work culture at Southwest Airlines emphasizes collaboration, creativity, and a friendly environment, which significantly enhances the role of a Senior Data Scientist. You’ll benefit from a flexible work setting, a vibrant Corporate Campus, and the opportunity to engage face-to-face with colleagues. This culture not only boosts innovation but also fosters strong connections within the data science community, facilitating the sharing of ideas and knowledge that drive impactful results.

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What is the expected salary range for a Senior Data Scientist at Southwest Airlines?

The expected salary range for a Senior Data Scientist at Southwest Airlines is competitive, typically falling between $151,400 and $168,200 per year, based on qualifications and experience. Additionally, there are opportunities for bonuses and other financial incentives, ensuring that your contributions to the team are well rewarded and recognized.

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Is mentorship a part of the Senior Data Scientist role at Southwest Airlines?

Yes, mentorship is a crucial aspect of the Senior Data Scientist role at Southwest Airlines. As a seasoned professional, you will have the opportunity to guide junior team members, review their work, and share your expertise to ensure quality outcomes. This engagement not only cultivates a supportive learning environment but also helps foster the growth of future data science leaders within the organization.

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Common Interview Questions for Sr Data Scientist
Can you describe your experience with machine learning and AI projects?

When discussing your experience with machine learning and AI projects, be specific about the models you've developed or worked with, such as regression models or neural networks. Mention the types of datasets you used, the goals of the projects, and how your contributions led to actionable business insights. Showing tangible results can demonstrate your impact.

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How do you approach problem-solving in data science?

In answering how you approach problem-solving in data science, emphasize your structured methodology. Describe how you define the problem, gather and analyze data, develop models, and validate results. Highlighting your critical thinking skills and collaboration with stakeholders will showcase your ability to navigate complex challenges effectively.

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What data visualization tools are you familiar with?

To answer this question, list the data visualization tools you have experience with, such as Tableau, Power BI, or Matplotlib. Discuss how you've used these tools to present data in a meaningful way, enabling stakeholders to understand insights quickly and making data-driven decisions simpler.

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How do you ensure the accuracy of your models?

To ensure model accuracy, explain your approach to validation techniques such as cross-validation, training and testing datasets, and performance metrics like precision and recall. Discuss how you continually refine your models based on feedback and new data, emphasizing your commitment to high-quality analytics.

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Describe a complex data project you managed. What challenges did you face?

When describing a complex data project, focus on the project's objectives, your role, and the methodologies you employed. Detail specific challenges you encountered, such as data quality issues or stakeholder disagreements, and how you overcame them. This highlights not only your technical skills but also your project management and interpersonal abilities.

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What programming languages are you proficient in?

Be upfront about the programming languages you can work with, especially focusing on those relevant to data science, like Python and SQL. Share examples of how you've utilized these languages in projects, whether it's for data manipulation, analysis, or model building, to give a well-rounded view of your technical skills.

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How do you keep up with the latest developments in data science?

To showcase your proactive learning approach, mention specific resources you follow, such as conferences, journals, or online courses. Discuss any communities you engage with or key influencers in the data science space, and explain how this ongoing education helps you stay innovative in your role.

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What is your experience with mentoring junior data scientists?

When asked about mentoring, highlight specific instances where you've guided junior team members. Describe the approaches you took, the feedback you received, and the growth you witnessed in those individuals. Emphasizing your investment in their development shows your leadership qualities and collaborative spirit.

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How do you prioritize multiple data science projects?

In answering this, illustrate your project management strategy, such as evaluating project urgency, stakeholder needs, and potential business impacts. Discuss any tools or methodologies you use for tracking progress and how you communicate updates with your team to ensure alignment and efficiency.

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What do you enjoy most about being a data scientist?

To stand out, share your passion for data science by mentioning specific aspects you love, such as uncovering insights, solving challenging problems, or collaborating with diverse teams. Your enthusiasm will resonate with interviewers and reinforce your commitment to the field.

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We're the low fare, high-flying airline whose People set us apart. Looking for a career? You can always find the latest at https://careers.southwestair.com/ Don’t see what you’re looking for? Join our Talent Community so you can be notified when ...

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Full-time, hybrid
DATE POSTED
December 13, 2024

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