20 Jun 2019

Vollzeit Senior Data Scientist (f/m/x) Statistics & Machine Learning

NOTE: This job listing has expired and may no longer be relevant!

Jobbeschreibung

Responsible for full development cycle of models from data collection, cleaning and feature engineering to prototyping and model selection to experimental evaluation to documentation and maintenance
Build statistical and machine learning models to identify online users who are likely to purchase travel products
Research and design advanced bidding and budget allocation strategies to improve the performance of our in-house bidder
Collaborate with data engineers to develop and improve our scalable streaming user profiling platform
Enjoy huge data volumes and fast feedback loops via our real-time system

You have strong statistics and data wrangling skills: experimental design, data transformation, machine learning, validation and evaluation
You have excellent interpersonal communication skills and are comfortable giving presentations
You care about the quality and correctness of your work
You are curious and like to communicate based on data and insights
You are able to think about the context and business impact of the problems you’re solving
You are results-oriented and have a record of successfully delivering projects
You possess good programming skills (preferably Python), have experience working with machine learning frameworks and writing SQL queries, and are able to learn new technologies quickly

The opportunity to drive business growth and truly having an impact on the business
A fast-paced industry where you handle new problems every day
An environment where you are encouraged to research, explore and try new ways of doing things
An open and dynamic culture that supports great work-life balance, while being part of Amadeus, the biggest travel tech company in the world
As part of our team, you will work in a highly motivated environment, with equal opportunities, flat hierarchies and short decision-making processes.
You’ll have a lot of freedom to contribute your own ideas and implement them.

Interested? We are looking forward to your application via Campusjäger!

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