Data Scientist 4

Job Title

Data Scientist 4

Summary Of The Role

As a Senior Data Scientist in Offer Optimization, you will design and develop advanced models for Dynamic Pricing and Revenue Management applications. This role involves building real-time optimization algorithms, managing large-scale data pipelines, and applying machine learning techniques to maximize airline revenue. You will work on cutting-edge solutions in a highly competitive domain, combining data science, engineering, and research to deliver impactful business outcomes.

In This Role You’ll / Your Main Responsibilities

• Analyze specifications and define user requirements for software solutions.
• Design and develop technical solutions, perform feasibility studies, and propose effective workarounds.
• Develop software in compliance with Amadeus standards and guidelines.
• Data Engineering Activities
• Acquire datasets aligned with business needs.
• Design, develop, and maintain optimal data pipeline architectures.
• Implement data validation methods and tools to ensure quality and reliability.
• Ensure compliance with data governance and security policies.
• Data Science Activities
• Train and calibrate ML models for different customers.
• Define KPIs and measure model performance.
• Conduct data mining, analysis, and research to enhance algorithms.
• Industrialize and implement prototypes into production.
• Conduct unit, package, and performance tests to maintain quality standards.
• Support customers by investigating model results and providing functional expertise.
• Prepare documentation such as feasibility studies, solution overviews, and technical specifications.
  

About The Ideal Candidate

• Experience Range: 9–12 years in Data Science, Machine Learning, or related roles.
• Strong programming skills in Python, Java, Scala, and PySpark.
• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Keras, and XGBoost.
• Proficiency in Big Data technologies (Hadoop, Spark, Scala) and streaming tools like Kafka.
• Solid knowledge of SQL, MongoDB, and data visualization tools (Tableau, Power BI).
• Experience in building and managing ETL pipelines.
• Familiarity with Cloud platforms (Azure) and Databricks is a plus.
• Strong interest in mathematics, modeling, and algorithm design.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work in Agile environments and collaborate across teams.
  
  

What We Can Offer You

• 🎯 A critical mission and purpose - At Amadeus, you will power the future of travel with a critical mission and extraordinary purpose. 
• 🌎 A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture. 
• 🎓 Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, from on-the-job training to formal activities, and daily interactions. 
• 🤗 A caring environment – Amadeus fosters a caring environment that supports both professional growth and personal well-being. 
• 💰 A complete rewards offer - Amadeus provides attractive compensation packages, including salary, bonus, caregiving and health benefits. 
• 🌟 A flexible working model - Embrace our flexible working model, enabling you to excel wherever and however you work best. 
• 🌈 A diverse, equitable, and inclusive community – We are committed to enabling each employee to reach their full potential by fostering a culture of belonging and fair treatment. 
• 📈 A Reliable Company - Trust and reliability are fundamental to shaping our relationships with customers, partners, and employees. 
  
  

Diversity & Inclusion

Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience. 

Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law. 

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