OPERATIONS RESEARCH SCIENTIST – Revenue Management

Airline industry is going through a drastic transformation in the area of retailing and distribution that requires very advance data analytics support to optimize revenue performance and customer experience. Recently introduced concepts of Offer/Order Management and Continuous Dynamic Pricing significantly expand opportunities for engaging with travelers through multiple touch points and creating personalized offers accounting for individual preferences and market context. These practices can substantially benefit from a combination of mathematical and statistical modeling and machine learning techniques leveraging huge volumes and variety of consumer and competitive data available in airline industry. 

The Operations Research Scientist applies expert level statistical analysis, data modeling, and predictive analysis on strategic and operational problems in airline industry. As a key member of the Sabre Operations Research team, you will leverage your statistical and business expertise to translate business questions into data analysis and models, define suitable KPIs, and graphically present results to a wide range of audiences including internal and external clients, sales, and development team. In addition, you will source data from a variety of data sources, write high-quality data manipulation scripts in primarily Python, Pyspark, C++, SQL, and/or R, develop and apply data mining and machine learning algorithms for advanced analysis, prediction and prescriptive models. You will also utilize your strong communication skills to work with developers to support product development cycles and decision makers who need empirical data to promote sales and growth. 

Responsibilities 

• Work with subject matter experts with airline industry experience to identify opportunities for leveraging data to deliver insights and actionable prediction of customer behavior and operations performance. 

• Assess the effectiveness and accuracy of new data sources, data gathering and forecasting techniques. 

• Evaluate merits of different optimization algorithms or heuristic solutions against each other 

• Develop custom data models and algorithms to apply to data sets and run proof of concept studies. 

• Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms. 

• Develop own production quality code and/or collaborate with software engineers to implement and test production quality code for traditional OR or AI/ML models. 

• Develop processes and tools to monitor and analyze data accuracy and models’ performance. 

• Demonstrate models/algorithms/software to customers and perform value proving benchmarks. Calibrate software for customer needs and train customer for using and maintaining software. 

• Resolve customer complaints with software and respond to suggestions for enhancements. 

Required Qualifications 

• Advanced degree in Statistics, Operations Research, Mathematics, Applied Math, or Data Science or in a field such as Engineering, Computer Science, Economics or Business that leverages such scientific methods. 

• Proven ability to apply modeling and analytical skills to real-world problems. 

• Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and statistical concepts (regression, properties of distributions, statistical tests, etc.). 

• Solid programming skills 2-3 languages out of Python, PySpark, SQL, TensorFlow, C++, R, or Java. 

• Absolutely must have: Graduate school degree in one of the above programs and knowledge of Revenue Management models and algorithms.

Desirable Qualifications 

• Experience with deployment of machine learning and statistical models on a cloud is preferred:

- MLOps within the enterprise CI/CD process for ML models 

- Experience deploying ML APIs in production environments in GCP using GKE

- Experience deploying ML APIs in production environments in GCP using GKE

- Experience in using GCP Vertex AI for ML and BigQuery 

- Knowledge in Terraform and Containers technologies

- Experience writing data processing jobs using GCP Dataflow and Dataproc

- Experience setting up ML model monitoring and autoscaling for ML prediction jobs

- Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry and Analytics Hub

• Familiarity with airline, hospitality, retailing, more specifically perishable product retailing and decision support systems. 

• Experience developing customer choice models, price elasticity estimation and market potential estimation. 

• Understanding of airline distribution, pricing, revenue management, NDC and Offer/Order Management concepts. 

Work arrangements

• Hybrid working mode; Remote or 3 chosen days from the office in a week (depending on the location)

• Flexible working hours: Maintain your work-life balance by adjusting your working hours to your needs

Paid time off

• Year-End-Break: enjoy additional fully paid days off during the last week of the year

• Paid parental leave: Take up to 12 weeks off with pay after birth or adoption of a child. Sabre Global Paid Parental Leave runs concurrently with local leave policies.

• Paid volunteer time: take up to 4 days annually to give your time to a charitable organization of your choice

Your money

• My Benefit platform/Multisport card: enjoy the benefit cafeteria system and use popular sport card

• Tax deduction: take the opportunity to claim deductible costs, reducing your income tax

• Employee Capital Plans: profit from long-term saving scheme co-financed by Sabre and the State Treasury

• Baby Bonus: benefit from one-time allowance on childbirth or adoption 

• Say Thanks program: collect points on recognition program and transfer them to wide variety of gifts and services

Health and wellness

• Luxmed VIP medical coverage: take care of yourself and your family with the extensive medical package with a broad range of additional services

• Foreign travel insurance: feel safe going abroad with free Allianz insurance offered as part of our Lux Med package

• Employee Assistance Program: find help in free, confidential program with a certified counselor

• Mindfulness & meditation apps: take care of your mental and physical health

• Life insurance: sign up for free, high coverage life insurance program

Career development

• Professional development: access to e-learning platforms as well as join Sabre live learning sessions

• Certification and tuition reimbursement

• Our Communities: join one of our team member groups focused on sharing knowledge and best practices (Google Developers Group, Innovation Lab Community, Women in Technology, SOLVE!T and many more)

And more

• Car and bike parking 

• Fun & Relax zone in modern office: enjoy electronic tables to work, foosball, ping pong, pool table, swings, massage chairs and terraces to admire a panoramic view of Kraków. We have parents’ rooms as well

• No dress code

• Innovation Lab: access Augmented Reality & Virtual Reality equipment, Robot construction kit, 3D printers and many more

• Attractive Referral Bonus: earn $2500 USD for every hired referral