Position Details

Type Not Specified

Experience senior

Exp. Years 6+ years

Education Master's or PhD in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering

Category AI & Machine Learning

About this role

This role involves leading the development and deployment of advanced machine learning models in a large energy company, focusing on data understanding, statistical methods, and AI solutions for operational efficiency.

Key Responsibilities

Leading ML lifecycle, collaborating on AI solutions, designing models for time series and NLP, optimizing predictive models, ensuring model performance and compliance

Technical Overview

The technical environment includes Python, TensorFlow, PyTorch, scikit-learn, with applications in time series forecasting, NLP, deep learning, reinforcement learning, and multi-agent AI systems, deployed on cloud platforms.

Ideal Candidate

The ideal candidate is a highly experienced data scientist with 6+ years in machine learning, natural language processing, and time series modeling, proficient in Python and ML frameworks, with domain knowledge in energy or oil & gas datasets.

Must-Have Skills

Master's or PhD in Data ScienceComputer ScienceApplied MathematicsStatisticsEngineering6+ years data science experienceExpertise in time series modelingExperience with NLPProficiency in PythonExperience with ML libraries (TensorFlowPyTorchscikit-learn)

Nice-to-Have Skills

Reinforcement learningLLM fine-tuningMulti-agent systemsDigital oilfield technologiesSensor data analyticsReal-time monitoring systems

Tools & Platforms

TensorFlowPyTorchscikit-learnAWSAzureGCP

Required Skills

PythonTensorFlowPyTorchscikit-learnTime Series ModelingNLPDeep LearningBayesian MethodsRegressionReinforcement LearningLarge Language ModelsMulti-agent SystemsMLOps

Hard Skills

PythonTensorFlowPyTorchscikit-learnTime Series ModelingNatural Language ProcessingML LibrariesDeep LearningBayesian MethodsRegressionReinforcement LearningLarge Language ModelsMulti-agent SystemsMLOps

Soft Skills

CollaborationCommunicationProblem-solvingTeamworkAdaptabilityLeadership

Industry & Role

Industry Energy

Job Function Developing and deploying machine learning models for energy data analytics

Role Subtype Data Scientist

Tech Domains Python, TensorFlow, PyTorch, scikit-learn, Natural Language Processing, Deep Learning, ML Libraries, Reinforcement Learning, Large Language Models, Multi-agent Systems

Keywords for Your Resume

Data ScientistPythonTensorFlowPyTorchscikit-learnTime Series ModelingNatural Language ProcessingML LibrariesDeep LearningBayesian MethodsRegressionReinforcement LearningLarge Language ModelsMulti-agent SystemsMLOpsEnergyOil & Gas datasetsReservoir modelingOperational analyticsAI solutionsML lifecycledata scientistpythontensorflowpytorchnatural language processingtime seriesdeep learningreinforcement learningml lifecycle

Deal Breakers

Less than 6 years of experience, Lack of proficiency in Python or ML frameworks, No experience with energy datasets, No advanced degree in relevant fields

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