Principal Data Science Engineer

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.

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 Labs team, you will leverage your optimization expertise to translate business questions into data analysis and models, define suitable KPIs, and present results to a wide range of audiences including internal and external clients, sales, and development team. In addition, you will engineer optimization software in C++, Java or Python, leverage commercial solvers like CPLEX or Gurobi and work on its continuous performance improvement and business enhancements. You will also utilize your strong communication skills to work with developers to support product development cycles.

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 AI/ML 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 enhancements.

Required Qualifications

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

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

• Proficiency with solving large-scale optimization using decomposition algorithms and other advanced OR techniques for linear and non-linear optimization

• Software development experience with proven record of developing complex algorithm.

• Must have: Proficiency in optimization or any advanced mathematical algorithms

• Must have: Advanced knowledge of C++ or Java and associated development tools.

• Experience (minimum 4 out of 7) with deployment of machine learning on a cloud:

MLOps within the enterprise CI/CD process for ML models – 2 years

Experience deploying ML APIs in production environments in GCP using GKE – 2 years

Experience in using GCP Vertex AI for ML and BigQuery – 1 year

Experience in optimization solvers like CPLEX/GUROBI -2 years

Advanced knowledge in Python or Go – 1 year

Knowledge in Terraform and Containers technologies – 2 years

Experience writing data processing jobs using GCP Dataflow and Dataproc – 2 years

Desirable Qualifications

• Familiarity with airline, rail or supply-chain industries and decision support systems employed there.

• Experience developing network optimization, resource planning and task scheduling models.

• Understanding of airline network planning, scheduling, and disruption 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

• 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

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.

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.