Technical Advisor-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

Halliburton Energy Services Landmark Software Services, Halliburton Digital Solutions, & Halliburton Consulting

With nearly 50,000 employees in approximately 80 countries, Halliburton is one of the world's largest providers of innovative products and services to the oil and gas industry. We add value throughout the entire lifecycle of a reservoir—from exploration and development to production, operations, and maintenance.

We are seeking an experienced Data Scientist Lead (Tech Advisor) to join our innovation center team in Bengaluru. This senior role will drive end-to-end data science projects, mentor teams, and shape strategy for next-generation AI/ML applications across the global energy industry.

Data Scientist Lead (Tech Advisor):

In this role, you should be highly analytical with demonstrated expertise in advanced data science and machine learning. Strong critical thinking, problem-solving, and leadership skills are essential for guiding teams and interpreting complex data. We are looking for someone who is equally comfortable leading large-scale projects, experimenting with cutting-edge AI methods, and shaping the group’s strategy for high-impact data science initiatives.

Knowledge, Skills, and Abilities

Desired/Preferred Expertise

• Mathematics & Analytics

o Deep knowledge of statistics, linear algebra, multivariate calculus, probability, and optimization

o Strong background in experimental design and hypothesis testing.

• Programming & Tools

o Advanced Python programming

o Expertise with key Python libraries:

•Data Handling/Visualization: Pandas, NumPy, Matplotlib/Seaborn

•Machine Learning: Scikit-Learn, XGBoost, LightGBM

•Deep Learning: PyTorch, TensorFlow, transformers

•Familiarity with distributed computing frameworks (e.g., Spark, Dask) is a plus.

•AI/ML Techniques

o Proven track record of delivering end-to-end data science projects at scale

o Expertise in at least one cutting-edge AI area (e.g., GANs, PINNs, Reinforcement Learning, Graph Neural Networks, Foundation Models, etc.)

o Ability to evaluate and critique models, lead experiments with new techniques, and guide team adoption of emerging trends

• Data Engineering & Deployment

o Lead large-scale data integration efforts: extracting, cleaning, building data dictionaries

o Strong SQL/NoSQL skills and experience with data lakes/warehouses

o Model deployment expertise: architecture design, scaling, and operationalization of ML/AI solutions in production environments

o Familiarity with CI/CD pipelines and MLOps practices

•Cloud Platforms

o Hands-on experience with at least one major cloud provider (AWS, Azure, GCP)

o Strong knowledge of AI/ML services (e.g., AWS Sagemaker, Azure ML, Google Vertex AI)

• Version Control & Collaboration

o Git (GitHub/GitLab/Bitbucket)

o Experience leading cross-functional teams and managing collaborative workflows

Leadership & Responsibilities

• Lead multiple large-scale, end-to-end analytics projects across business lines; ensure delivery of high-value outcomes.

• Drive experimentation with emerging AI/ML methods; critique and review models for quality, robustness, and scalability.

• Discover large-scale data science opportunities with multimillion-dollar impact; shape group strategy, roadmap, and adoption of AI/ML innovations.

• Oversee and mentor teams working on data preparation, pipelines, and integration efforts across diverse data sources.

• Guide architecture and deployment design; audit and direct implementation of production-grade solutions at scale.

Qualifications

Education:

• Bachelor’s degree in STEM (Computer Science, Data Science, Artificial Intelligence, Engineering, Earth Sciences, or related quantitative field) and 8+ years of relevant experience.

• Master’s degree or Ph.D. in STEM preferred

• Location: Bengaluru, Karnataka, India

Experience:

5 to 10 years

1 to 2 years in Team/ People Management

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,, 560103,

Job Details

Requisition Number: 202420

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.