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.

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