Data Science Engineer 3
Amadeus (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 22–35 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end data science projects for airline and airport operations optimization, delivering measurable business value.
- Design and deploy ML solutions on Azure cloud platform, incorporating statistical learning, forecasting, NLP, and Generative AI technologies.
- Provide technical guidance to junior data scientists and collaborate with cross-functional global teams to translate analytics into strategic insights.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics or related field.
- 6+ years of hands-on data science/ML experience including production model deployment.
- Strong Python skills with data manipulation and ML frameworks (Pandas/Polars, Scikit-learn, TensorFlow/PyTorch) and git.
- Experience with cloud platforms, preferably Azure, and MLOps practices.
Ideal Candidate Profile
- Experienced in applying advanced statistical learning, time-series forecasting, and generative AI in production-scale projects.
- Ability to lead projects autonomously with a focus on ROI, business impact, and clear communication to technical and non-technical stakeholders.
- Prior exposure or interest in aviation/airport operations domain is advantageous but not mandatory.