Data Science - Expert

Role Overview
Expert-level Data Science scope covering AI/ML, advanced analytics, computer vision/NLP, signal processing, programming, open-source ML libraries, AI/ML platforms, Data Strategy, and E&P/O&M use cases.

Key Responsibilities / Scope of Work
Hands-on experience in AI, ML, Neural Networks, Deep Learning, and Human-Robo / Human-Machine interaction.
Algorithm development, statistical and probabilistic analysis / programming, and clustering.
Natural Language Processing, image retrieval, image processing, computer vision, and advanced signal processing.
Solve use cases revolving around E&P domain areas including fault identification, reservoir modelling, geology, drilling, and petrophysics.
Work on O&M areas such as corrosion monitoring and equipment failure.
Hands-on experience in programming languages including Python, Matlab, Fortran, Scala, R, C++, etc.
Prior experience working with open-source ML libraries such as Scikit-learn, Theano,Torch, SciPy, etc.
Understanding of platforms such as TensorFlow that provide AI/ML capabilities.
Understanding of Data Strategy and all database-related concepts.

Required Technical Skills / Experience
AI / Machine Learning
Neural Networks
Deep Learning
Human-Robo / Human-Machine Interaction
Algorithm Development
Statistical & Probabilistic Analysis / Programming
Clustering
Natural Language Processing (NLP)
Image Retrieval & Image Processing
Computer Vision
Advanced Signal Processing
Python, Matlab, Fortran, Scala, R, C++
Scikit-learn, Theano, Torch, SciPy
TensorFlow / AI-ML platforms
Data Strategy

Database Concepts
E&P / Oil & Gas use cases
O&M use cases