Job Title

Data Science Engineer 4Summary 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.
- Robust 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

📌 Data Science Engineer 4 (Bengaluru)
🏢 Amadeus
📍 Bengaluru