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수집 기준일2026-08-24
채용공고 › American Airlines

Data Scientist/Sr Data Scientist, IT Operations Research and Advanced Analytics

추출된 스킬 18건
스킬분류수준근거 문장 (원문)
머신러닝 IT·데이터 기술 필수 Deep knowledge of statistical and machine learning techniques
자연어처리 IT·데이터 기술 필수 Hands-on experience with machine learning, deep learning, natural language processing (NLP), GenAI, recommender systems, experimentation (e.g., A/B testing).
Azure IT·데이터 기술 필수 Expertise in working with cloud environments (e.g., Azure ML, Databricks) and managing production deployments.
BI 도구 IT·데이터 기술 필수 Proficiency in SQL and data visualization (e.g., Tableau, Power BI).
Java IT·데이터 기술 필수 Experience with at least one programming language (e.g., Python, R, Java)
Python IT·데이터 기술 필수 Experience with at least one programming language (e.g., Python, R, Java)
R IT·데이터 기술 필수 Experience with at least one programming language (e.g., Python, R, Java)
Spark·Databricks IT·데이터 기술 필수 Expertise in working with cloud environments (e.g., Azure ML, Databricks) and managing production deployments.
SQL IT·데이터 기술 필수 Proficiency in SQL and data visualization (e.g., Tableau, Power BI).
석·박사 학력·법적 자격 필수 Master’s/PhD degree or Bachelor’s degree with 2+ years of equivalent practical experience in a quantitative discipline (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Engineering, etc.)
커뮤니케이션 직무 역량 필수 Excellent interpersonal and communication skills with technical and non-technical audiences
문제 해결 직무 역량 필수 Demonstrated aptitude for logical analysis, problem identification, and problem solving
생성형 AI·LLM IT·데이터 기술 언급 Advanced modeling: develop, validate, and deploy models to solve complex business problems. Techniques include building predictive or classification models by employing statistical models, machine learning, deep learning, NLP, GenAI, LLMs, etc.
수익 관리 항공 직무 지식 언급 This job is a member of the Operations Research and Advanced Analytics (OR&AA) team. Positioned within the Information Technology organization, the OR&AA team at American Airlines has a long history of being on the leading edge of analytics in the airline domain. Nearly four decades ago we launched the revenue management revolution with our yield management strategy. Today our diverse team of pass
리더십 직무 역량 언급 Thought leadership and advocacy: promote data-driven decision-making across the organization by leading workshops, developing tutorials, and sharing best practices in data science.
적응력 직무 역량 언급 • Health Benefits: On day one, you’ll have access to your health, dental, prescription and vision benefits to help you stay well. And that’s just the start, we also offer virtual doctor visits, flexible spending accounts and more.
팀워크 직무 역량 언급 Collaborative problem-solving: partner with cross-functional teams and other analytics professionals to identify high-impact business opportunities and frame analytical problems that align with organizational goals.
이해관계자 관리 직무 역량 언급 Collaborative problem-solving: partner with cross-functional teams and other analytics professionals to identify high-impact business opportunities and frame analytical problems that align with organizational goals.
공고 원문
Summary / Purpose This job is a member of the Operations Research and Advanced Analytics (OR&AA) team. Positioned within the Information Technology organization, the OR&AA team at American Airlines has a long history of being on the leading edge of analytics in the airline domain. Nearly four decades ago we launched the revenue management revolution with our yield management strategy. Today our diverse team of passionate analytics professionals supports decision making across the airline, including pricing and revenue management, fleet and network optimization, crew and flight scheduling, airport and maintenance operations and customer/social media analytics. We are constantly on the lookout to bring together exciting technologies, like the latest in cloud technology, with cutting-edge analytical methods, such as deep learning, computer vision, and natural language processing, to create a competitive edge for American. Key Responsibilities - As part of the OR&AA team, you will deliver data and analytics driven projects from beginning to end, by: - Collaborative problem-solving: partner with cross-functional teams and other analytics professionals to identify high-impact business opportunities and frame analytical problems that align with organizational goals. - Advanced modeling: develop, validate, and deploy models to solve complex business problems. Techniques include building predictive or classification models by employing statistical models, machine learning, deep learning, NLP, GenAI, LLMs, etc. - Data acquisition and preparation: obtain, clean, and transform structured and unstructured data from diverse sources to ensure robust data pipelines. Perform exploratory data analysis to uncover insights. - Deployment and maintenance: deploy models as proofs of concept and collaborate with IT engineers to integrate models into production environments. Monitor and maintain deployed models to ensure continued effectiveness. - Data visualization and reporting: create compelling dashboards and reports to communicate findings to stakeholder, translating data insights into actionable business recommendations. - Thought leadership and advocacy: promote data-driven decision-making across the organization by leading workshops, developing tutorials, and sharing best practices in data science. Minimum Qualifications - Master’s/PhD degree or Bachelor’s degree with 2+ years of equivalent practical experience in a quantitative discipline (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Engineering, etc.) - Experience with at least one programming language (e.g., Python, R, Java) - Practical experience with data extraction, cleaning, and analysis - Deep knowledge of statistical and machine learning techniques - Preferred Qualifications- Education & Prior Job Experience - Practical experience in designing, building and deploying machine learning models. - Expertise in working with cloud environments (e.g., Azure ML, Databricks) and managing production deployments. - Hands-on experience with machine learning, deep learning, natural language processing (NLP), GenAI, recommender systems, experimentation (e.g., A/B testing). - Proficiency in SQL and data visualization (e.g., Tableau, Power BI). - Prior experience in consulting roles, demonstrating the ability to manage client relationships and deliver data-driven solutions. - Domain knowledge in the airline industry or related fields is highly desirable. - Skills, Licenses & Certifications - Demonstrated aptitude for logical analysis, problem identification, and problem solving - Ability to view data from different angles to employ feature engineering techniques to better represent models - Excellent interpersonal and communication skills with technical and non-technical audiences - Ability to work on a diverse team or with a diverse range of coworkers Preferred Qualifications - Not stated (not separately listed on this posting) Benefits / Compensation (if stated) - • Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. - • Health Benefits: On day one, you’ll have access to your health, dental, prescription and vision benefits to help you stay well. And that’s just the start, we also offer virtual doctor visits, flexible spending accounts and more. - • Wellness Programs: We want you to be the best version of yourself – that’s why our wellness programs provide you with all the right tools, resources and support you need. - • 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. - • Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more ---