At SAS we are passionate about revolutionizing the aviation industry through cutting-edge technology. We aim to become Scandinavias preferred airline with your help. As part of our AI Team, you’ll have the opportunity to shape the future of air travel by developing and deploying innovative solutions. If you’re excited about driving machine learning projects to enhance network efficiency and revenue optimization, this role is for you!

We are a central machine learning team that collaborates closely with stakeholders across various business units, identifying business challenges and opportunities that can be addressed through advanced analytics.

We work with diverse machine learning projects, collaborate and contribute to the machine learning practice to ensure that we have a solid foundation for SAS to scale and realize the full potential of machine learning.

We are now strengthening our team with an experienced Data Scientist focused primarily on optimization projects within Revenue Management and Network, enhancing our advanced analytics capabilities to drive continuous business optimization.

In this role, you’ll work closely with the Commercial team, collaborating with Data Analysts and System Specialists on cross-functional initiatives within Revenue Management and Network.

Your primary responsibilities will include translating business questions into analytical requirements and actionable data science use cases, developing and maintaining machine learning models, and applying innovative analytical approaches to drive business value.

You’ll bring a fresh perspective to problem-solving by exploring advanced analytical techniques to address business challenges and uncover valuable insights. Your contributions will strengthen our data-driven approach, building a foundation for SAS to scale and unlock the full potential of machine learning.

We believe you share our passion for data and algorithms. In this dynamic, fast-evolving environment of digital transformation, your curiosity and enthusiasm for using algorithms to solve complex problems and inspire others will be invaluable.

• Master’s Degree or higher with strong mathematics focus (Data Science, Statistics, Econometrics, Applied Mathematics, Optimization, Computer Science) or related field.
• At least 3 years of industry experience within Data science domain
• Proven record of taking on loosely defined problems and translating into practical application
• 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 learning and unsupervised learning)
• Well-versed in cloud computing, prior experience with Azure is a big plus

We believe you share our passion for data and algorithms. You’re self-driven, persistent, creative, and curious, with a strong passion for learning. You seek to understand both the big picture and the intricate details that make it up. Like us, you get excited by commercial opportunities and proactively strive to create business value.

At SAS, we offer extensive opportunities for professional development in an international, fast-paced working environment. We are dedicated to the continuous growth of our employees. Working with us comes with a variety of benefits, including:

• 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, as well as on transportation to and from airports, airport shops, hotels, and car rentals.
• Work Environment: Our office location in Frösundavik offers a vibrant workspace with a restaurant, café, and easy access to outdoor activities in Hagaparken and Brunnsviken. Engage in running, tennis, outdoor gym sessions, kayaking, and stand-up paddling with equipment available free of charge.
• Convenient Commute: Benefit from a non-stop bus service connecting our office to Central Station, Solna station, and commuter trains, alongside a network of cycle paths.

If you feel your experience, skills and ambitions are right for this role, please apply already today with your CV and a short personal letter. Last day for application is January 26th, 2025. For questions relating to this position, please contact hiring manager warren.edgrensas.se.