Job Details
Recognized in Red
Technical Professional- Data Science/ Principal
Houston, Texas, United StatesJob Description
We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.
Role Overview
We are seeking a Senior Data Scientist to join the Innovation Center team in Bengaluru. In this role, you will envision, develop, and deploy next-generation digital and data-driven solutions for the global energy industry, working at the intersection of data science, cloud computing, and applied subsurface domain science.
Key aspects of the role include:
- Working on globally deployed digital products and platforms
- Collaborating with cross-functional, multinational teams
- Solving complex, real-world problems across the oil and gas value chain
Job Duties
- Design, develop, and deploy advanced analytics, machine learning, deep learning, and generative AI solutions
- Build scalable data products that extract actionable insights from large, complex datasets
- Apply statistical analysis, ML/DL, and GenAI techniques to energy industry workflows (exploration, drilling, completion, production, operations)
- Develop and deploy solutions on iEnergy, Halliburton’s hybrid cloud platform
- Collaborate with domain experts, software engineers, product managers, and researchers
- Communicate insights and recommendations clearly to technical and senior business stakeholders
- Contribute to innovation through patents, publications, and internal/external conference presentations
Data Science Focus
- Analyze structured and unstructured data to identify patterns, trends, and value opportunities
- Develop end-to-end ML workflows from problem definition to deployment
- Perform rigorous statistical and exploration data analysis
- Translating ambiguous business problems into well-defined analytical tasks
- Demonstrate strong critical thinking, problem-solving, and applied research mindset
- Continuously learn and adopt emerging techniques in machine learning, AI, and generative AI
Desired Expertise
- Mathematics – Statistics, Multivariate Calculus, Linear Algebra
- Programming Language – Python
- Frameworks –
- Data Handling / Visualization – Pandas, NumPy, Seaborn / Matplotlib
- Machine Learning – Scikit-learn, XGBoost, LightGBM
- Deep Learning – TensorFlow / PyTorch
- Generative AI – LangChain, LangGraph, LlamaIndex, etc.
- REST APIs – Flask / FastAPI
- Generative AI –
- Large Language / Vision Models (LLM / LVM): APIs, Hugging Face, fine-tuning
- Retrieval-Augmented Generation (RAG)
- Agentic AI – Building sophisticated multi-agent systems
- Version Control – Git (GitHub / GitLab / Bitbucket)
- Databases – SQL
- Preferred Qualitfications
- Experience with Cloud Platforms – AWS / Azure (basic to intermediate)
- Familiarity with Containerization & deployment workflows – Docker
- Big Data Frameworks – Spark (PySpark)
- Experience with NoSQL Databases – MongoDB
Qualifications
- Masters with 5+ years of experience or Ph.D.
- Degree in Computer Science, Engineering, Earth Sciences, or a closely related field
Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available, including Senior Technical Professional and Principal Technical Professional.
World Class Benefits:
At Halliburton, we're committed to providing you and your family with a comprehensive and affordable benefits package - which means we offer support for your physical, emotional, financial and parental needs, both now and in the future. When you join our team, you'll have access to a wide range of resources designed to help you thrive at work and at home. By clicking here, you can review a summary of the benefits available once you join.
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Location
3000 N Sam Houston Pkwy E, Houston, Texas, 77032, United States
Job Details
Requisition Number: 207867
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Landmark Software & Services
Full Time / Part Time: Full-time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.
Role Overview
We are seeking a Senior Data Scientist to join the Innovation Center team in Bengaluru. In this role, you will envision, develop, and deploy next-generation digital and data-driven solutions for the global energy industry, working at the intersection of data science, cloud computing, and applied subsurface domain science.
Key aspects of the role include:
- Working on globally deployed digital products and platforms
- Collaborating with cross-functional, multinational teams
- Solving complex, real-world problems across the oil and gas value chain
Job Duties
- Design, develop, and deploy advanced analytics, machine learning, deep learning, and generative AI solutions
- Build scalable data products that extract actionable insights from large, complex datasets
- Apply statistical analysis, ML/DL, and GenAI techniques to energy industry workflows (exploration, drilling, completion, production, operations)
- Develop and deploy solutions on iEnergy, Halliburton’s hybrid cloud platform
- Collaborate with domain experts, software engineers, product managers, and researchers
- Communicate insights and recommendations clearly to technical and senior business stakeholders
- Contribute to innovation through patents, publications, and internal/external conference presentations
Data Science Focus
- Analyze structured and unstructured data to identify patterns, trends, and value opportunities
- Develop end-to-end ML workflows from problem definition to deployment
- Perform rigorous statistical and exploration data analysis
- Translating ambiguous business problems into well-defined analytical tasks
- Demonstrate strong critical thinking, problem-solving, and applied research mindset
- Continuously learn and adopt emerging techniques in machine learning, AI, and generative AI
Desired Expertise
- Mathematics – Statistics, Multivariate Calculus, Linear Algebra
- Programming Language – Python
- Frameworks –
- Data Handling / Visualization – Pandas, NumPy, Seaborn / Matplotlib
- Machine Learning – Scikit-learn, XGBoost, LightGBM
- Deep Learning – TensorFlow / PyTorch
- Generative AI – LangChain, LangGraph, LlamaIndex, etc.
- REST APIs – Flask / FastAPI
- Generative AI –
- Large Language / Vision Models (LLM / LVM): APIs, Hugging Face, fine-tuning
- Retrieval-Augmented Generation (RAG)
- Agentic AI – Building sophisticated multi-agent systems
- Version Control – Git (GitHub / GitLab / Bitbucket)
- Databases – SQL
- Preferred Qualitfications
- Experience with Cloud Platforms – AWS / Azure (basic to intermediate)
- Familiarity with Containerization & deployment workflows – Docker
- Big Data Frameworks – Spark (PySpark)
- Experience with NoSQL Databases – MongoDB
Qualifications
- Masters with 5+ years of experience or Ph.D.
- Degree in Computer Science, Engineering, Earth Sciences, or a closely related field
Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available, including Senior Technical Professional and Principal Technical Professional.
World Class Benefits:
At Halliburton, we're committed to providing you and your family with a comprehensive and affordable benefits package - which means we offer support for your physical, emotional, financial and parental needs, both now and in the future. When you join our team, you'll have access to a wide range of resources designed to help you thrive at work and at home. By clicking here, you can review a summary of the benefits available once you join.
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Location
3000 N Sam Houston Pkwy E, Houston, Texas, 77032, United States
Job Details
Requisition Number: 207867
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Landmark Software & Services
Full Time / Part Time: Full-time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.
Role Overview
We are seeking a Senior Data Scientist to join the Innovation Center team in Bengaluru. In this role, you will envision, develop, and deploy next-generation digital and data-driven solutions for the global energy industry, working at the intersection of data science, cloud computing, and applied subsurface domain science.
Key aspects of the role include:
- Working on globally deployed digital products and platforms
- Collaborating with cross-functional, multinational teams
- Solving complex, real-world problems across the oil and gas value chain
Job Duties
- Design, develop, and deploy advanced analytics, machine learning, deep learning, and generative AI solutions
- Build scalable data products that extract actionable insights from large, complex datasets
- Apply statistical analysis, ML/DL, and GenAI techniques to energy industry workflows (exploration, drilling, completion, production, operations)
- Develop and deploy solutions on iEnergy, Halliburton’s hybrid cloud platform
- Collaborate with domain experts, software engineers, product managers, and researchers
- Communicate insights and recommendations clearly to technical and senior business stakeholders
- Contribute to innovation through patents, publications, and internal/external conference presentations
Data Science Focus
- Analyze structured and unstructured data to identify patterns, trends, and value opportunities
- Develop end-to-end ML workflows from problem definition to deployment
- Perform rigorous statistical and exploration data analysis
- Translating ambiguous business problems into well-defined analytical tasks
- Demonstrate strong critical thinking, problem-solving, and applied research mindset
- Continuously learn and adopt emerging techniques in machine learning, AI, and generative AI
Desired Expertise
- Mathematics – Statistics, Multivariate Calculus, Linear Algebra
- Programming Language – Python
- Frameworks –
- Data Handling / Visualization – Pandas, NumPy, Seaborn / Matplotlib
- Machine Learning – Scikit-learn, XGBoost, LightGBM
- Deep Learning – TensorFlow / PyTorch
- Generative AI – LangChain, LangGraph, LlamaIndex, etc.
- REST APIs – Flask / FastAPI
- Generative AI –
- Large Language / Vision Models (LLM / LVM): APIs, Hugging Face, fine-tuning
- Retrieval-Augmented Generation (RAG)
- Agentic AI – Building sophisticated multi-agent systems
- Version Control – Git (GitHub / GitLab / Bitbucket)
- Databases – SQL
- Preferred Qualitfications
- Experience with Cloud Platforms – AWS / Azure (basic to intermediate)
- Familiarity with Containerization & deployment workflows – Docker
- Big Data Frameworks – Spark (PySpark)
- Experience with NoSQL Databases – MongoDB
Qualifications
- Masters with 5+ years of experience or Ph.D.
- Degree in Computer Science, Engineering, Earth Sciences, or a closely related field
Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available, including Senior Technical Professional and Principal Technical Professional.
World Class Benefits:
At Halliburton, we're committed to providing you and your family with a comprehensive and affordable benefits package - which means we offer support for your physical, emotional, financial and parental needs, both now and in the future. When you join our team, you'll have access to a wide range of resources designed to help you thrive at work and at home. By clicking here, you can review a summary of the benefits available once you join.
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Location
3000 N Sam Houston Pkwy E, Houston, Texas, 77032, United States
Job Details
Requisition Number: 207867
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Landmark Software & Services
Full Time / Part Time: Full-time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.
Role Overview
We are seeking a Senior Data Scientist to join the Innovation Center team in Bengaluru. In this role, you will envision, develop, and deploy next-generation digital and data-driven solutions for the global energy industry, working at the intersection of data science, cloud computing, and applied subsurface domain science.
Key aspects of the role include:
- Working on globally deployed digital products and platforms
- Collaborating with cross-functional, multinational teams
- Solving complex, real-world problems across the oil and gas value chain
Job Duties
- Design, develop, and deploy advanced analytics, machine learning, deep learning, and generative AI solutions
- Build scalable data products that extract actionable insights from large, complex datasets
- Apply statistical analysis, ML/DL, and GenAI techniques to energy industry workflows (exploration, drilling, completion, production, operations)
- Develop and deploy solutions on iEnergy, Halliburton’s hybrid cloud platform
- Collaborate with domain experts, software engineers, product managers, and researchers
- Communicate insights and recommendations clearly to technical and senior business stakeholders
- Contribute to innovation through patents, publications, and internal/external conference presentations
Data Science Focus
- Analyze structured and unstructured data to identify patterns, trends, and value opportunities
- Develop end-to-end ML workflows from problem definition to deployment
- Perform rigorous statistical and exploration data analysis
- Translating ambiguous business problems into well-defined analytical tasks
- Demonstrate strong critical thinking, problem-solving, and applied research mindset
- Continuously learn and adopt emerging techniques in machine learning, AI, and generative AI
Desired Expertise
- Mathematics – Statistics, Multivariate Calculus, Linear Algebra
- Programming Language – Python
- Frameworks –
- Data Handling / Visualization – Pandas, NumPy, Seaborn / Matplotlib
- Machine Learning – Scikit-learn, XGBoost, LightGBM
- Deep Learning – TensorFlow / PyTorch
- Generative AI – LangChain, LangGraph, LlamaIndex, etc.
- REST APIs – Flask / FastAPI
- Generative AI –
- Large Language / Vision Models (LLM / LVM): APIs, Hugging Face, fine-tuning
- Retrieval-Augmented Generation (RAG)
- Agentic AI – Building sophisticated multi-agent systems
- Version Control – Git (GitHub / GitLab / Bitbucket)
- Databases – SQL
- Preferred Qualitfications
- Experience with Cloud Platforms – AWS / Azure (basic to intermediate)
- Familiarity with Containerization & deployment workflows – Docker
- Big Data Frameworks – Spark (PySpark)
- Experience with NoSQL Databases – MongoDB
Qualifications
- Masters with 5+ years of experience or Ph.D.
- Degree in Computer Science, Engineering, Earth Sciences, or a closely related field
Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available, including Senior Technical Professional and Principal Technical Professional.
World Class Benefits:
At Halliburton, we're committed to providing you and your family with a comprehensive and affordable benefits package - which means we offer support for your physical, emotional, financial and parental needs, both now and in the future. When you join our team, you'll have access to a wide range of resources designed to help you thrive at work and at home. By clicking here, you can review a summary of the benefits available once you join.
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Location
3000 N Sam Houston Pkwy E, Houston, Texas, 77032, United States
Job Details
Requisition Number: 207867
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Landmark Software & Services
Full Time / Part Time: Full-time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
