Python Job: Data Scientist

• Master’s degree in data science, mathematics, statistics, theoretical physics or related field
• Fluent in English, German is a plus
• Permanent, Full-time
• Travel 0-10%

Do you want to apply rigorous but pragmatic analytical frameworks to assist in the development of business actions with impact? Join our Global Analytics Lab as Data Scientist!

In this exciting position, you'll become part of a broader specialist data department whose goal is to create business value through actionable application of data. Supporting data science projects at Red Bull, you'll be expected to implement statistical and machine learning models, as well as assist in the quality assurance process.

Areas that play to your strengths

All the responsibilities we'll trust you with:

CONTENT RESPONSIBILITY

• Support and take part-ownership of analytics projects, focusing specifically on model application and testing
• Work directly with other Data Scientists in an executive capacity for their advanced analytics needs, while maintaining a pragmatic approach in everything you do
• Carry out thorough, exploratory analysis to evaluate a data set’s “fitness-for-purpose” as well as develop best practice modelling solutions ensuring the highest validation standards
• Foster conscientious handling of data and an excellent ability to absorb new skills and techniques quickly
• Act as a trainer of our internal analytics trainings and help advancing the business’ understanding of key analytical and visualization concepts

OPERATIONAL RESPONSIBILITY

• Be part of the Global Analytics Lab which is responsible for developing and managing analytics and data science for various departments
• Support the Data Science team to implement projects in an efficient manner
• Be responsible for quality assurance of projects from a methodological and pragmatic point of view

Your areas of knowledge and expertise

• Master’s degree in data science, mathematics, statistics, theoretical physics or related field
• Relevant experience in quantitative analytics and statistics
• Working experience in application of statistical modelling (e.g. R) with openness to learn others (e.g. Python)
• Experience with statistical techniques, including testing, regression, and classification
• Applied knowledge of machine learning and deep learning algorithms
• Ability to give understandable presentations on complex topics
• Very good communication and interpersonal skills
• Strong willingness to learn