Data Scientist 4

• Influences decisions related to own activity, anticipating dependencies and consequences in complex scenarios, contributes to transversal projects, proposes improvements to processes and is accountable for own and team commitments.
• Works independently within plan dictated by manager, with some guidance on most complex situations.

Specific accountabilities:

• Transform data into insights to identify & quantify business opportunities. Solve business problems by employing machine learning, artifical intelligence, statistical learning, pattern recognition or high performance computing techniques:
• Collect and manage large data sets to perform complex data analysis.
• Implement data analysis algorithms on a large scale working closely with data engineering members
• Communicate and translate complicated results & their implications to business stakeholders.
• Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques.
• Identify data sources, both internal and external to Amadeus, and transform them into actionable insights that support fact-based decision making.
• Actively participate to a community of practice for data scientists.

Diversity & Inclusion