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Technical Professional Data Science (Senior - Principal)
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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.
About the Role
The Senior Data Scientist leads project tasks and small-scale initiatives focused on data engineering, modeling, and deployment in support of business development and commercial decision-making. This role operates with a high degree of independence, partnering directly with subject matter experts to source, prepare, and analyze complex datasets.
The Senior Data Scientist builds and deploys analytical models, contributes to technical strategy, and identifies opportunities to improve data processes and methodologies. This role also supports thought leadership through publications, patents, and participation in industry forums.
Key Responsibilities
- Lead project tasks or small projects involving data engineering, data modeling, and model deployment.
- Collaborate independently with subject matter experts to identify data requirements and extract data from multiple internal and external sources.
- Perform data cleaning, validation, transformation, and documentation, including development of data dictionaries.
- Design, build, and validate analytical and predictive models aligned with business development objectives.
- Implement model deployment using off-the-shelf platforms or in collaboration with software developers and data engineers.
- Translate analytical results into clear insights and recommendations for technical and commercial stakeholders.
- Contribute to and help shape the team’s technical and analytical strategy, identifying opportunities for process improvement and standardization.
- Co-author technical publications, white papers, or patents that advance analytical capabilities and innovation.
- Begin active participation in industry events, technical forums, and professional communities.
Qualifications
- Bachelor’s degree in a STEM discipline (Science, Technology, Engineering, Mathematics) required.
- 4+ years of professional experience in data science, analytics, or related technical roles.
- Demonstrated experience in data engineering, model development, and analytics workflows.
- Ability to work independently across the full data lifecycle, from data acquisition to model deployment.
- Strong problem-solving skills and ability to communicate analytical results to non-technical audiences.
Preferred Qualifications
- Master’s degree in a STEM discipline.
- Experience applying data science in commercial, business development, or operational contexts.
- Exposure to model deployment pipelines, cloud-based analytics platforms, or scalable data solutions.
- Experience contributing to patents, publications, or technical innovation initiatives.
Candidates who exceed minimum qualifications may be considered for higher-level positions based on experience, capability, and business needs. Career progression includes Senior Data Scientist and Principal Data Scientist.
World Class Benefits
At Halliburton, we’re committed to supporting you and your family with a comprehensive and affordable benefits package that covers your physical, emotional, financial, and parental needs — now and in the future. When you join our team, you’ll gain access to a wide range of programs designed to help you thrive at work and at home.
Click here to review a summary of the benefits available once you join.
Core Competencies
Data Engineering | Statistical & Predictive Modeling | Data Analysis & Visualization | Model Deployment | Data Quality & Governance | Problem Solving | Independent Execution | Stakeholder Collaboration | Technical Communication | Continuous Improvement
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
3000 N. Sam Houston Parkway E., Houston, Texas, 77032, United States
Job Details
Requisition Number: 205270
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Global R&D
Full Time / Part Time: Full Time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
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