Technical Professional-Data Science/Senior Tech Pro-Data Science (AI Engineer)

mypetrocareer.com; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Halliburton seeks a Data Scientist in Singapore to perform data engineering, modeling, and deployment across AI/ML solutions. You will source data, clean it, build data dictionaries, and deploy models via APIs and cloud platforms.

Role requires an undergraduate STEM degree with 1+ years of experience (master's preferred) and hands-on Python/Java/C++, plus TensorFlow, PyTorch or Scikit-learn; Snowflake experience is essential. Opportunity for impact on global energy data problems.

Qualifications

• Undergraduate degree in STEM and 1+ years of related experience; master's degree preferred.

Responsibilities

• Data engineering, data modeling or model deployment under supervision.
• Collaborate to obtain data, clean data, and build a data dictionary.
• Design, develop, and deploy AI/ML models and algorithms.
• Transition legacy SQL Server reporting to Snowflake-based data lake.
• Monitor model performance and improve accuracy.

Skills

Python

Java

C++

ML frameworks

Education

BSc in STEM

MSc in STEM (preferred)

Tools

Snowflake

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

• 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.
• 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.
• Design, develop, and implement AI/ML models and algorithms.
• Build and deploy machine learning, deep learning, and NLP solutions.
• Work with structured and unstructured datasets to extract meaningful insights.
• Develop and optimize data pipelines for model training and deployment.
• Integrate AI models into applications through APIs or cloud platforms.
• Monitor model performance and continuously improve model accuracy and efficiency.
• Stay updated with the latest advancements in AI and machine learning technologies.
• 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 Tech Prof – Data Science and Senior Tech Pro-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: 209831
• Experience Level: Experienced Hire
• Job Family: Engineering/Science/Technology
• Product Service Line: [[division]]
• Full Time / Part Time: Full Time
• Compensation: Compensation is competitive and commensurate with experience.