As a Senior Data Scientis , 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 Youll / 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 to 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.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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