Principal Data Scientist - Operational Research

Job Description

About The Role We are looking for a passionate Data Scientist with a strong background in Operations Research (OR) and Supply Chain Analytics to join our Data Science & AI team. The ideal candidate will leverage data-driven modeling, optimization, and simulation to enhance operational efficiency and drive innovation across functions such as flight operations, crew management, ground operations, maintenance, and supply chain . You will collaborate with domain experts, data engineers, and business teams to conduct applied research, prototype advanced analytical models, and translate insights into scalable solutions that make measurable impact on our operational performance. Key Responsibilities Research & Problem Formulation Identify opportunities for operational improvements and formulate research problems across different airline functions (e.g., crew rostering, maintenance scheduling, spare parts management, network planning, etc.). Explore optimization, forecasting, and simulation techniques to support strategic and tactical decision-making. Model Development Build and validate mathematical optimization, simulation, and machine learning models for real-world airline operations problems. Develop what-if analysis frameworks to test scenarios and assess operational trade-offs. Data Science & Analytics Work with large, complex datasets to derive actionable insights using advanced statistical and analytical techniques. Integrate OR techniques (linear/non-linear optimization, mixed-integer programming, queuing models, stochastic modeling) with ML-based forecasting. Implementation & Collaboration Partner with engineering and product teams to operationalize models and embed them into decision-support systems. Collaborate with business stakeholders to ensure models and recommendations are interpretable, practical, and aligned with operational goals. Continuous Research & Innovation Stay current with academic and industry trends in operations research, AI in aviation, and supply chain optimization. Publish internal whitepapers or PoC studies demonstrating new methods for efficiency improvement. Required Skills & Qualifications Bachelor?s or Master?s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science, or a related field from IISc/IITs/BITS Pilani only. 2?5 years of experience applying operations research and data science techniques to real-world business problems. Strong command over optimization tools and solvers Hands-on experience with Python, SQL, and data analysis libraries (Pandas, NumPy, SciPy, scikit-learn). Knowledge of forecasting, simulation, and statistical modeling. Experience working with large-scale data systems Strong analytical thinking, problem structuring, and business acumen. Excellent communication skills ? ability to explain complex concepts to non-technical stakeholders. Preferred Qualifications (Good To Have) Experience in the aviation industry (network planning, scheduling, crew or maintenance optimization, etc.). Experience working on research or innovation projects involving experimentation and model benchmarking. Familiarity with cloud platforms (Azure, GCP, or AWS) for model deployment. Why Join Us Opportunity to work at the intersection of data science, operations research, and aviation? solving problems that impact millions of passengers. Collaborate with a multidisciplinary team driving innovation in airline operations. Be part of research initiatives shaping the next generation of intelligent operational systems