Sabre is a technology company that powers the global travel industry. By leveraging next-generation technology, we create global technology solutions that take on the biggest opportunities and solve the most complex challenges in travel. 

Positioned at the center of the travel, we shape the future by offering innovative advancements that pave the way for a more connected and seamless ecosystem as we power mobile apps, online travel sites, airline and hotel reservation networks, travel agent terminals, and scores of other solutions.

Simply put, we connect people with moments that matter.

DATA SCIENCE ENGINEER

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 statistical and machine learning techniques leveraging huge volumes and variety of consumer and competitive data available in airline industry.

The Data Science Engineer 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 multiple different data sources, write high-quality data manipulation scripts in R, Python, Perl, bash, etc, develop and apply data mining and machine learning algorithms for advanced analysis and prediction. 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 from airlines 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.

• 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.

• Collaborate with software engineers to implement and test production quality code for forecasting and data analytics models.

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

• Demonstrate 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 improvements and enhancements.

Required Qualifications

• Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning or related Quantitative disciplines.

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

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

• Solid programming skills with knowledge of Python. GO or C++.

• Experience with deployment of machine learning and statistical models on a cloud and leveraging services in GCP.

• Extremely diverse/complex work is completed with minimal direction, diverse interactions, knowledge resource.

Desirable Qualifications

• Familiarity with airline, hospitality or retailing industries and decision support systems employed there.

• Experience developing customer choice, recommendation models

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

Work arrangements

• Hybrid working mode; 3 chosen days from the office in a week

• 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 

• Floating Holidays: use additional up to 2 days of paid time-off benefit  

• 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 with free access to Headspace, Burn Along, Sanvello which will help you manage stress, exercise, sleep and more 

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

Career development 

• English & Polish lessons: improve your language skills during lessons led by native speakers 

• Professional development: enjoy access to Udemy learning platform 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 including electric scooter charging station: use them free of charge  

• 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 

We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as we progress your application.

Please note that only candidates who meet the minimum requirements will proceed in the selection process.