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Tier-1 brand, Bengaluru location, broad generalist data science title, and wide skill requirements increase competition.
Role's focus on airline revenue-management and dynamic pricing raises domain sensitivity despite transferable ML skills.
Explicit 9–12 years plus mandatory ML, big-data, and programming expertise indicates high shortlisting strictness.
Design and develop advanced ML models and real-time optimization algorithms for dynamic pricing and revenue management in airlines.
Build and maintain large-scale data pipelines ensuring data quality, compliance, and reliability for production systems.
Analyze requirements, develop software following company standards, and provide expert support on model results and performance.
9–12 years of experience in Data Science, Machine Learning, or related roles.
Strong programming skills in Python, Java, Scala, and PySpark.
Experience with ML frameworks like PyTorch, TensorFlow, Keras, XGBoost and Big Data technologies such as Hadoop, Spark, Kafka.
Proficiency in SQL, MongoDB, data visualization tools (Tableau, Power BI), and experience in building/managing ETL pipelines.
Experienced in deploying scalable ML models and data pipelines in production environments within revenue management or related domains.
Skilled in both research and engineering to bridge algorithm design with operational implementation in an Agile environment.
Technically versatile with strong analytical skills, able to communicate complex model results and collaborate across multi-disciplinary teams.