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