Computational Data Science Researcher
Shell Technology Centre - Bangalore, India
INR 1600K-2755K (estimate) Mid-level Full Time
Tasks
- Apply deep learning spectroscopy and manifold learning for chemical data analysis
- Build scalable models for noisy sparse and biased data
- Collaborate with domain experts to translate physicochemical behavior into analytical problems
- Develop and implement chemometric and hybrid modeling frameworks
- Perform anomaly detection and root cause analysis for process monitoring and optimization
- Publish research and develop intellectual property
- Select modeling approaches for interpretability robustness and predictive performance
- Validate models against experimental simulated and operational data
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Bayesian statistics | Chemometrics | Chromatography | Deep learning | Design of Experiments | Deterministic optimization | GANs | General linear modeling | Generative AI | Linear modeling | Machine Learning | Manifold learning | Meta Learning | Multivariate analysis | Physics-Based Modeling | Physics-informed machine learning | Probabilistic Modeling | Reinforcement Learning | Series analysis | Spectroscopy | Stochastic Optimization | Time Series | Time Series Analysis | Uncertainty Quantification
Education
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Mid-level Full TimeLocation(s): Bengaluru, Karnataka, India1d ago