Responsibilities (원문) "Machine Learning & Optimization Techniques: Build and deploy algorithms that power revenue and network decisions... develop demand forecasting, purchase probability, and revenue optimization models... Operations Research: you'll explore new formulations, test novel algorithms and findings that push the boundaries of airline revenue optimization... collaborating with the Operations Research team... MLOps: Leverage end-to-end ML infrastructure to take models from research to production at scale. This includes designing reproducible training and inference pipelines, integrating CI/CD workflows for seamless deployment, and ensuring robust monitoring to detect drift and trigger automated retraining" Requirements (원문) "- Master's Degree or higher with strong mathematics focus (Data Science, Statistics, Econometrics, App[lied Math]...) - At least 3 years of industry experience within the Data Science domain. - Proven record of taking on loosely defined problems and translating them into practical applications - Strong mathematical background (e.g., linear algebra, calculus, statistics, optimization). - More than 3 years' experience with Python, SQL and popular machine/deep learning libraries. - Proficient with statistical and machine learning models (both supervised and unsupervised learning). - Well-versed in cloud computing. Prior experience with Azure is a big plus." Preferred / Benefits (원문) "Travel Perks: Enjoy discounted travel opportunities around the world with SAS. Health & Wellness: Access to health and wellness benefits, including a newly renovated gym with complimentary classes such as CrossFit and yoga. Discounts: Receive discounts from a wide range of brands... Work Environment: Our office location in Frösundavik offers a vibrant workspace with a restaurant, café, and easy access to outdoor activities..." "As this role contributes to security-classified systems and business-critical capabilities, a background [check is required]" ---