DYNAMIC PRICING SCIENTIST
Indexed description
As a Dynamic Pricing Scientist, you will apply Operations Research, Statistics, Machine Learning, and Economic thinking to solve some of the most challenging commercial optimization problems in aviation.
You will work in a highly skilled team of scientists and product managers where your models will directly influence pricing decisions at scale, working at the intersection of mathematics, economics, customer behavior, and technology.
You will also own the science behind our Dynamic Pricing algorithms.
- Develop, improve, and deploy Dynamic Pricing models.
- Design optimization approaches that maximize revenue while delivering customer value.
- Analyze customer behavior, booking patterns, competitive dynamics, and market conditions.
- Collaborate with Product Managers to translate business opportunities into analytical solutions.
- Work closely with engineers to operationalize models in production environments.
- Design experiments and evaluate business impact.
- Contribute to the broader evolution of Revenue Management, pricing, forecasting, and optimization capabilities at SAS.
- Help define the future analytical agenda of Revenue Management and Network Optimization Science.
To be successful we believe you have
You enjoy solving complex business problems using quantitative methods and have a strong desire to create measurable business impact.
We Believe You Have
- MSc or PhD in Operations Research, Mathematics, Statistics, Economics, Data Science, Computer Science, Engineering, Physics, or a related quantitative field.
- Experience applying analytical methods to real-world business problems.
- Strong programming skills in Python, R, SQL, or equivalent.
- Ability to structure ambiguity and translate business questions into analytical approaches.
- Strong communication skills and ability to explain complex concepts to non-technical audiences.
- Experience with Pricing, Revenue Management, Forecasting, Optimization, or Decision Science.
- Experience developing Machine Learning models in production environments.
- Familiarity with airline, travel, retail, e-commerce, mobility, or marketplace industries.
- Experience with experimentation and causal inference.
- Knowledge of Operations Research techniques including optimization, simulation, or forecasting.
- 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 Solna station, and commuter trains, alongside a network of cycle paths.
We welcome diverse perspectives and particularly encourage applications from women.
Additional Information
- Please send us your CV as soon as possible, as interviews are conducted continuously, and the position may be filled before the application deadline. Note that we are not able to handle any applications that are sent by email, due to GDPR regulations.
- Desired start date: As soon as possible.
- Position: Fulltime (100%) starting with a 6-month probation period.
- This position is based in Frösundavik, Solna (Stockholm), and you will be expected to work onsite. Remote work and employment in Copenhagen may also be options, depending on the agreement made with your manager.
- To be eligible for this position you need an EU-work permit. Please note that we ask you to inform us if you currently have a valid EU-work permit.
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