DATA SCIENTIST
Scandinavian Airlines
Our purposeAt SAS we are passionate about revolutionizing the aviation industry through cutting-edge technology. We aim to become Scandinavia’s 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!About the teamWe 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.Data Scientist – Focused on Revenue Management and Network OptimizationIn 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.To be successful, we believe you should have:
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.Why SAS?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:
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.edgren@sas.se.SAS, Scandinavia’s leading airline since 1946, operates from its principal hub at Copenhagen Airport (CPH), complemented by hubs in Oslo (OSL) and Stockholm (ARN). Our mission is to connect Scandinavia with the world and the world with Scandinavia. Each year, SAS serves more than 25 million passengers and transports 55 tons of cargo to 135 destinations across Europe, the USA, and Asia. With a passionate workforce of over 10,000 colleagues, we collaborate with partners and customers to drive transformative changes in aviation. We are committed to achieving net-zero emissions by 2050, embodying the visionary spirit of our founders: “To move from the old to what is about to come, is the only tradition worth keeping”. Innovation and societal progress are at the heart of everything we do. For more information, visit our website at www.flysas.com or follow us on social media for the latest updates and promotions.
Solna, Stockholm
Sat, 21 Dec 2024 23:13:33 GMT
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