Job Details
Recognized in Red
Technical Professional - Data Science
Singapore, Singapore, SingaporeJob 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.
Key Responsibilities
- Lead initiatives that apply AI to optimize manufacturing workflows, reduce downtime, and improve product quality
- Design and deploy intelligent automation solutions that enable continuous improvement across operations
- Integrate commercial AI tools, platforms, and models for scalable deployment
- Champion best practices in model monitoring, retraining, and lifecycle management
- Analyze production data from MES, SCADA, and sensor systems to uncover actionable insights
- Build and maintain robust data pipelines using Snowflake and other cloud native services to support model development and analytics
- Collaborate with cross-functional teams to translate operational challenges into data-driven strategies
- Develop visualizations and dashboards that empower teams to make informed decisions
Preferred Skills
- Familiarity with AI platforms such as Azure ML and practical deployment workflows
- Exposure to industrial data systems (MES, SCADA, PLCs) and IoT architectures
- Familiarity with MLOps practices and model governance
- Understanding of lean manufacturing, Six Sigma, or process control methodologies
- Visualization experience with Power BI, Qlik Sense, or similar tools
- Experience with Databricks for scalable model training and orchestration
Requirement
An undergraduate degree in STEM and 1+ years of related experience is required, master's degree in STEM preferred.
Qualifications
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: 202320
Experience Level: Entry-Level
Job Family: Engineering/Science/Technology
Product Service Line: Supply Chain Mgmt
Full Time / Part Time: Full-time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
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.
Key Responsibilities
- Lead initiatives that apply AI to optimize manufacturing workflows, reduce downtime, and improve product quality
- Design and deploy intelligent automation solutions that enable continuous improvement across operations
- Integrate commercial AI tools, platforms, and models for scalable deployment
- Champion best practices in model monitoring, retraining, and lifecycle management
- Analyze production data from MES, SCADA, and sensor systems to uncover actionable insights
- Build and maintain robust data pipelines using Snowflake and other cloud native services to support model development and analytics
- Collaborate with cross-functional teams to translate operational challenges into data-driven strategies
- Develop visualizations and dashboards that empower teams to make informed decisions
Preferred Skills
- Familiarity with AI platforms such as Azure ML and practical deployment workflows
- Exposure to industrial data systems (MES, SCADA, PLCs) and IoT architectures
- Familiarity with MLOps practices and model governance
- Understanding of lean manufacturing, Six Sigma, or process control methodologies
- Visualization experience with Power BI, Qlik Sense, or similar tools
- Experience with Databricks for scalable model training and orchestration
Requirement
An undergraduate degree in STEM and 1+ years of related experience is required, master's degree in STEM preferred.
Qualifications
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: 202320
Experience Level: Entry-Level
Job Family: Engineering/Science/Technology
Product Service Line: Supply Chain Mgmt
Full Time / Part Time: Full-time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
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.
Key Responsibilities
- Lead initiatives that apply AI to optimize manufacturing workflows, reduce downtime, and improve product quality
- Design and deploy intelligent automation solutions that enable continuous improvement across operations
- Integrate commercial AI tools, platforms, and models for scalable deployment
- Champion best practices in model monitoring, retraining, and lifecycle management
- Analyze production data from MES, SCADA, and sensor systems to uncover actionable insights
- Build and maintain robust data pipelines using Snowflake and other cloud native services to support model development and analytics
- Collaborate with cross-functional teams to translate operational challenges into data-driven strategies
- Develop visualizations and dashboards that empower teams to make informed decisions
Preferred Skills
- Familiarity with AI platforms such as Azure ML and practical deployment workflows
- Exposure to industrial data systems (MES, SCADA, PLCs) and IoT architectures
- Familiarity with MLOps practices and model governance
- Understanding of lean manufacturing, Six Sigma, or process control methodologies
- Visualization experience with Power BI, Qlik Sense, or similar tools
- Experience with Databricks for scalable model training and orchestration
Requirement
An undergraduate degree in STEM and 1+ years of related experience is required, master's degree in STEM preferred.
Qualifications
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: 202320
Experience Level: Entry-Level
Job Family: Engineering/Science/Technology
Product Service Line: Supply Chain Mgmt
Full Time / Part Time: Full-time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
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.
Key Responsibilities
- Lead initiatives that apply AI to optimize manufacturing workflows, reduce downtime, and improve product quality
- Design and deploy intelligent automation solutions that enable continuous improvement across operations
- Integrate commercial AI tools, platforms, and models for scalable deployment
- Champion best practices in model monitoring, retraining, and lifecycle management
- Analyze production data from MES, SCADA, and sensor systems to uncover actionable insights
- Build and maintain robust data pipelines using Snowflake and other cloud native services to support model development and analytics
- Collaborate with cross-functional teams to translate operational challenges into data-driven strategies
- Develop visualizations and dashboards that empower teams to make informed decisions
Preferred Skills
- Familiarity with AI platforms such as Azure ML and practical deployment workflows
- Exposure to industrial data systems (MES, SCADA, PLCs) and IoT architectures
- Familiarity with MLOps practices and model governance
- Understanding of lean manufacturing, Six Sigma, or process control methodologies
- Visualization experience with Power BI, Qlik Sense, or similar tools
- Experience with Databricks for scalable model training and orchestration
Requirement
An undergraduate degree in STEM and 1+ years of related experience is required, master's degree in STEM preferred.
Qualifications
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: 202320
Experience Level: Entry-Level
Job Family: Engineering/Science/Technology
Product Service Line: Supply Chain Mgmt
Full Time / Part Time: Full-time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
