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Halliburton

Technical Professional -Data Science (Associate to Senior) - AI Engineer

Singapore, Singapore, Singapore

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Tools in this posting

  • java
  • python
  • sql
  • aws
  • azure
  • snowflake
Source — Tool mentions in context
Required skills: - Strong programming skills in Python (preferred), Java, or C++ - Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- This role is able to build models under guidance and understand how to deploy the model and assist in the deployment process. - Transition legacy SQL Server reporting infrastructure to a Snowflake-based data lake architecture - Understand business requirements, analyze operational challenges, and develop AI-driven solutions that deliver measurable business value and process improvements
- Data Science certifications - Cloud certifications (Azure, AWS, or GCP) Required skills:
- Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn - Hands-on experience with Snowflake data platform 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 AssociateTechnical Professional -Data Science, Technical Professional -Data Science ;and Senior Technical Professional -Data Science.
- Strong programming skills in Python (preferred), Java, or C++ - Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn - Hands-on experience with Snowflake data platform
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Singapore, Singapore, Singapore

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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 AssociateTechnical Professional -Data Science, Technical Professional -Data Science ;and Senior Technical Professional -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
Open source at careers.halliburton.com ↗Read the full description ↓
Posting history
Status in our records
Active
First seen by us
Sep 10, 2026
Recorded sightings
4

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Skills in this posting

javapythonsqlawsazuresnowflakepytorchtensorflowc++sqlserverscikit

Job 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.

 

Job Duties

  1. Under general supervision, a Data Scientist will perform data engineering, data modeling or model deployment.
  2. A Data Scientist will collaborate to obtain data from sources, complete data clean up and build a data dictionary under guidance.
  3. This role is able to build models under guidance and understand how to deploy the model and assist in the deployment process.
  4. Transition legacy SQL Server reporting infrastructure to a Snowflake-based data lake architecture
  5. Understand business requirements, analyze operational challenges, and develop AI-driven solutions that deliver measurable business value and process improvements
  6. Design, develop, and implement AI/ML models and algorithms
  7. Build and deploy machine learning, deep learning, and NLP solutions
  8. Work with structured and unstructured datasets to extract meaningful insights
  9. Develop and optimize data pipelines for model training and deployment
  10. Integrate AI models into applications through APIs or cloud platforms
  11. Monitor model performance and continuously improve model accuracy and efficiency
  12. Stay updated with the latest advancements in AI and machine learning technologies
  13. Document technical solutions, models, and development processes

Qualifications

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

 

Preferred Certifications (Added Advantage)

  • AI / Machine Learning certifications
  • Data Analyst certifications
  • Data Science certifications
  • Cloud certifications (Azure, AWS, or GCP)

 

Required skills:

  • Strong programming skills in Python (preferred), Java, or C++
  • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Hands-on experience with Snowflake data platform

 

 

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  AssociateTechnical Professional -Data Science, Technical Professional -Data Science ;and Senior Technical Professional -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

11 Tuas South Avenue 12, Singapore, Singapore, 637131, Singapore

 

Job Details

Requisition Number: 211629  
Experience Level: Entry-Level 
Job Family: Engineering/Science/Technology 
Product Service Line: [[division]]  
Full Time / Part Time: Full-time

Additional Locations for this position: 

 

Compensation Information
Compensation is competitive and commensurate with experience.