Data Scientist

Required Experience:

• Minimum 10 years in building and deploying machine learning/AI models for business or research applications.
• Must have experience in AI/ML, DL, NLP, Tensorflow, Pytorch, Django & Data Analytics
• Experience in taking a model from experimentation to production, handling issues like scalability, model monitoring, and retraining.
• Proficiency in Python with a strong command on ML Libraries.
• Experience in working with large datasets, cleaning and transforming data for analysis.
• A good grasp of probability, statistics, and data distributions to build and evaluate models.
• Familiarity with supervised and unsupervised algorithms like Regression models, decision trees, random forests, support vector machines, k-means, and neural networks.
• Knowledge of metrics such as accuracy, precision, recall etc. and how to handle overfitting/underfitting.
• Experience in techniques such as cross-validation, grid search, and hyperparameter tuning.
• Ability to approach problems with critical thinking and apply machine learning in innovative ways to solve business or research challenges.
• Experience in Oil and gas domain preferred, but not mandatory.
• Bachelor's or Master's in fields such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline
• Any relevant certifications would be an added advantage