Data Scientist (m/f) – Data Science and Engineering

Job description

Frankfurt am Main (Germany)

By joining our Team, you step at the spearhead of Customer Analytics at Lufthansa. You can leave your footprints on our journey towards becoming the leading customer-centric airline worldwide. In collaboration with other Data Scientists, Data Engineers and Decision Optimization experts you shape our customer experience by delivering analytical insights for personalizing our products, services and communication.

What will you do?

·  Employ sophisticated analytics programs, machine learning and statistical methods to prepare and analyze data for predictive modeling and thereby improve products for our customers
·  Make sure the architecture (e. g. relational and non-relational databases) supports analytical requirements and support bring them together with business demands
·  Set up and monitor processes to deal with and solve data related problems
·  Translate metrics and prototypes that can be used to drive business decisions at scale
·  Ongoing management/maintenance of (statistical) models; monitor, optimize and extend statistical models at scale

Lufthansa is one of the world`s leading airlines. As an internationally-operating aviation Group Deutsche Lufthansa is active in the following business fields: Passenger Transportation, Logistics, MRO and Catering. More than 540 subsidiaries and holding companies also belong to the Group. The airline offers more than 235 destinations in 78 countries using currently 615 aircraft, around 420 are used for Lufthansa German Airlines and Germanwings. Around 106 million passengers worldwide place their trust in us each year. The dedication, skills and excellent service of more than 119 000 employees from almost 150 nations everywhere in the world is one of our greatest strengths.

www.lufthansa.com

If this is you, please apply online.

Desired profile

Your profile

What will you need to succeed?

·  University degree in a quantitave field (mathematics, statistics, physics, computer science, engineering, or related natural sciences)
·  Min. 1 year of relevant work experience, including machine learning, mathematical optimization and statistical data analysis (e. g. linear models, multivariate analysis, stochastic models and predictive modeling)
·  Professional experience in relational and non-relational data environments (e. g. SQL, noSQL, Hadoop, Hive, Spark)
·  Profound experience using SAS, Python, R, Scala or similar
·  Capability to solve complex tasks in a dynamic and challenging environment
·  Talent to think analytically and conceptually
·  Experience in the airline environment is a plus
·  Excellent language skills in English, German beneficial

 

The position is limited to Dec. 2018. Please include your salary requirements in your job application.

We are looking forward to your application!