Technical Professional - Data Science/ Sr. Data Science/ Principal Data Science

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.

Job Duties

• Under general supervision, a Data Scientist will perform data engineering, data modeling or model deployment. A Data Scientist will collaborate to obtain data from sources, complete data clean up and build a data dictionary under guidance.

• This role is able to build models under guidance and understand how to deploy the model and assist in the deployment process.

• An undergraduate degree in STEM and 1+ years of related experience is required, master's degree in STEM preferred.

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.

Key Responsibilities

• 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 i

Energy, 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

Knowledge, Skills, and Abilities

Desired Expertise

• Mathematics – Statistics, Multivariate Calculus, Linear Algebra

• Programming Language – Python

• Frameworks –

Data Handling / Visualization – Pandas, Num

Py, Seaborn / Matplotlib

• Machine Learning – Scikit-learn, XGBoost, LightGBM

• Deep Learning – Tensor

Flow / Py

Torch

• Generative AI – Lang

Chain, Lang

Graph, Llama

Index, 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 (Git

Hub / Git

Lab / Bitbucket)

• Databases – SQL

• Preferred Qualitfications

Experience with Cloud Platforms – AWS / Azure (basic to intermediate)

• Familiarity with Containerization & deployment workflows – Docker

• Big Data Frameworks – Spark (Py

Spark)

• Experience with NoSQL Databases – MongoDB

Qualifications

Education 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 Technical Professional - Data Science, Technical Professional - Sr. Data Science and Technical Professional - Principal Data Science.

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

4th Floor, Gardenia 2D, Bengaluru, Karnataka, 560103, India

Job Details

Requisition Number: 208310

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.