Senior Data Scientist - Ai/ml Quantitative Interpretation Job in Halliburton

Job Title: Senior Data Scientist
Location: Bangalore, India
Type: Full-Time
Requisition Number: 194971
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Landmark Software & Services

About the Role:
We are seeking a highly motivated and experienced Senior Data Scientist with a strong background in advanced AI/ML techniques, including Physics-Informed Neural Networks (PINNs), Reinforcement Learning, and Generative Adversarial Networks (GANs). This role presents a unique opportunity to contribute to groundbreaking research and development in the oil and gas industry, driving innovation and efficiency within our organization. You will work on impactful projects and play a crucial role in shaping the future of energy through AI and machine learning.

Responsibilities:

• Develop and Implement AI/ML Models: Design and deploy advanced models using PINNs, Reinforcement Learning algorithms, and GANs for key business areas such as:

  • Reservoir Simulation & Optimization
  • Production Forecasting & Optimization
  • Predictive Maintenance
  • Exploration & Resource Assessment
  • Field Development Planning

• Collaborate with Domain Experts: Work closely with geologists, engineers, and other domain experts to understand business challenges and develop data-driven solutions.

• Model Evaluation: Design experiments to assess model performance, optimize results, and ensure robustness.

• Stay Current with AI/ML Trends: Keep up to date with the latest AI/ML advancements and explore their applications within the oil and gas industry.

• Contribute to Research & IP: Contribute to the creation of intellectual property and publish research in leading AI/ML journals and conferences.

• Mentorship & Knowledge Sharing: Mentor junior data scientists and foster a culture of innovation within the team.

• Work with Engineering Teams: Partner with product engineering teams to productionize AI/ML solutions, ensuring smooth integration into existing internal systems and platforms.

Knowledge, Skills, and Abilities:

• Educational Qualification: PhD in Computer Science, Applied Mathematics, Physics, Engineering, or a related field.

• Experience: At least 5 years of hands-on experience applying advanced AI/ML techniques in the oil and gas industry or closely related fields.

• Technical Expertise:

  • Strong theoretical and practical knowledge of PINNs, Reinforcement Learning, and GANs.
  • Expertise in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch).
  • Experience with data analysis and visualization tools.

• Communication Skills: Excellent ability to communicate complex technical concepts to both technical and non-technical audiences.

Good to Have:

• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Contributions to open-source projects or publications in top-tier AI/ML conferences.

Benefits:

• Work on challenging and impactful projects that shape the future of the energy sector.
• A collaborative, supportive work environment with access to cutting-edge technologies.
• Professional development and growth opportunities.
• Competitive compensation and benefits.

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 orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.