What role you will play in our team

What you will do

• Work with data scientists, computational scientists, engineers, software developers, and geoscientists across the globe to develop, deliver and apply computational tools, models, or software to support our business.
• Use machine learning, pattern recognition, deep learning, statistical analysis and data visualizations – along with domain knowledge and subject-specific models (eg. physics-based) – to solve science, engineering, commercial problems and provide business insights.
  Design, build, and execute studies using proprietary or commercial tools to provide insights including calibrating models to field data and providing field optimization recommendations.
  

About You

• Bachelor's degree from a recognized university in one of the following disciplines: Chemical Engineering, Mechanical Engineering or related disciplines with minimum GPA 7.0 (out of 10.0) and above
• Minimum 3 years of work experience in developing, applying, and validating data-driven tools to model complex systems.
• In-depth knowledge and practical experience in applying statistical analysis techniques, such as classification, regression, time-series, Bayesian techniques, etc. and machine learning techniques, such as decision-trees, ensemble methods, deep learning, neural networks, validation methods etc.
• Practical experience in the full machine learning life cycle from problem formulation, data acquisition, modeling building, and deployment at enterprise scale.
• Specialization in at least one of the sub-domains e.g. Natural Language Processing (NLP), Computer Vision, Time series forecasting, PINN’s, causality analysis.
• Experience in Python & R and related packages such as numpy, pandas, sklearn, Keras, Tensorflow, Py Torch
• Experience with software engineering practices, agile methodologies, Dev Ops, version control
• Experience working in Azure Databricks or any other data science frameworks
• Software testing and development practices (Agile)
  

Preferred Qualifications / Experience

• Experience in developing, applying, and analyzing physics-based or data driven computational models and simulations is an advantage
• Prior knowledge of commercial software development and/or experience in commercial software teams
• Experience of identifying and scoping data science opportunities based on business needs is an advantage
• Strong communication and interpersonal skills
  

Your benefits

• Competitive compensation
• Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits
• Retirement benefits
• Global networking & cross-functional opportunities
• Annual vacations & holidays
• Day care assistance program
• Training and development program
• Tuition assistance program
• Workplace flexibility policy
• Relocation program
• Transportation facility

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