Sr Data Science Engineer

Sabre

Athens, Greece

πριν από 5 μέρες

source : Just Join IT

Statistics (regular)

Google Cloud (regular)

SQL (advanced)

Computer science (advanced)

Sr Data Science Engineer

Location : Krakow, Malopolska Province, PL

Sabre Corporation is a leading technology provider to the global travel and tourism industry. Headquartered in Southlake, Texas, USA, Sabre operates offices in approximately 60 countries around the world.

At Sabre, we make travel happen. Positioned at the center of the business of travel, our platform connects people with experiences that matter in their lives.

Today, Sabre is creating a new marketplace for personalized travel. It is our people who develop and deliver powerful solutions that meet the current and future needs or our airline, hotel and travel agency customers. Join our journey!

Job Description

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 oppor-tunities 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 analy-sis and models, define suitable KPIs, and graphically present results to a wide range of audiences including in-ternal and external clients, sales, and development team.

In addition, you will source data from multiple dif-ferent data sources, write high-quality data manipulation scripts in R, Python, Perl, bash, etc, develop and ap-ply 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 in-sights 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 cus-tomer needs and train customer for using and maintaining software.

Resolve customer complaints with software and respond to suggestions for improvements and en-hancements.

Job Requirements

Required Qualifications

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

Solid programming skills with knowledge of R, SQL, Python, PySpark or other data-extraction and analysis tools and programming languages such as C++, Java, or JavaScript.

Experience with deployment of machine learning and statistical models on a cloud and leveraging ser-vices in AWS or Google Cloud.

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, sta-tistical tests and proper usage, etc.

and experience with applications.

Desirable Qualifications

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

Experience developing customer choice models, price elasticity estimation and market potential estima-tion.

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

Why is it worth working with us?

Profit from our VIP medical package with free travel insurance and dental care, sport medicine and life insurance and Benefit System

Join the tax deduction program

Enjoy attractive parental benefits beyond the legally required

Explore new technologies at our Innovation Lab (3D printer, Augmented Reality and Virtual Reality equipment, Robot construction kit, Internet of Things devices, Access to quantum computer via IBM Cloud)

Lift your qualifications through wide range of trainings and get technical certification reimbursement

No dress code, flexible working time and get additional day off

Recommend your friends and get a very attractive referral bonus

Use your car or bike to get to the office - free of charge parking lot for employees

Full remote work is an option

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. To learn more about the people and culture at Sabre, follow us on Twitter, Facebook and LinkedIn

Αναφορά αυτής της εργασίας

Thank you for reporting this job!

Your feedback will help us improve the quality of our services.

Το e-mail μου

Πατώντας στο κουμπί «Συνέχεια », δίνω στο neuvoo τη συγκατάθεση μου να καταχωρήσει τα δεδομένα μου και να μου στέλνει ειδοποιήσεις μέσω email, όπως αναφέρεται λεπτομερώς στην πολιτική προστασίας προσωπικών δεδομένων του neuvoo. Μπορείτε ανά πάσα στιγμή να αποσύρετε τη συγκατάθεση σας ή να διαγραφθείτε οποιαδήποτε στιγμή.

Συνέχεια