DBS Data Scientist

NOV; Stavanger; On-site; NOK 600,000 - 800,000; Full time

Benefits offered by this job

Opportunities for continuous learning

Exposure to cutting‑edge technologies

Supportive work environment

Job summary

NOV is seeking a Data Scientist (Drilling Analytics) in Stavanger, Norway. You will transform drilling data into insights that improve operational performance and decision-making. This role involves collaboration with engineering, software, and operations teams, ensuring data quality and delivering analytical solutions.

Ideal candidates will have a degree in Data Science or a related field, experience with technical datasets, and strong skills in statistical analysis and programming. Join us to make a measurable impact in the drilling industry.

Qualifications

• Experience working with complex technical or operational datasets in drilling or energy.
• Strong knowledge of data management and quality control.
• Fluent English communication skills, both written and verbal.

Responsibilities

• Manage and clean drilling and operational datasets.
• Ensure data quality and traceability across analytics workflows.
• Develop dashboards and analytical products for stakeholders.

Skills

Data management

Statistical analysis

Python

SQL

Power BI

Attention to detail

Collaboration

Education

Bachelor's or Master's degree in Data Science, Statistics, or a related field

Tools

GitHub Copilot

Claude Code

Microsoft Excel

Job description

About the Role

As a Data Scientist (Drilling Analytics) at NOV Downhole Broadband Solutions, you will transform real‑time and historical drilling data into actionable insights that improve operational performance, efficiency, and decision‑making. Working closely with engineering, operations, software development, and customer teams, you will ensure data quality, develop analytical frameworks, and deliver meaningful reporting and visualization solutions.

Benefits

• The opportunity to work with unique real‑time and historical drilling datasets
• Exposure to cutting‑edge drilling automation and digital technologies
• Collaboration with multidisciplinary teams across engineering, software, operations, and data science
• Opportunities to contribute to innovative analytics and digital product development
• A supportive environment that encourages continuous learning and professional growth
• Access to modern analytical tools and AI‑enabled technologies
• The ability to make a measurable impact on operational efficiency and customer success
• A global organization with opportunities for long‑term career development

Core Responsibilities

• Manage, clean, structure, and contextualize drilling and operational datasets from multiple internal and customer systems.
• Ensure data quality, consistency, integrity, and traceability across analytics and reporting workflows.
• Apply advanced statistical techniques to identify trends, anomalies, operational risks, and improvement opportunities.
• Support drilling performance analysis, post‑operation reviews, and optimization initiatives through data‑driven insights.
• Develop dashboards, reports, and analytical products for both internal stakeholders and customers.
• Collaborate with engineering, operations, and software teams to improve data workflows, digital solutions, and analytical capabilities.
• Support the development of data models, contextual frameworks, and scalable analytics solutions for drilling data environments.

Additional Responsibilities

• Contribute to data pipeline improvements and analytical product development initiatives.
• Evaluate and leverage AI‑enabled tools to improve productivity, analysis, documentation, and workflow automation.
• Support continuous improvement efforts related to drilling data management and operational intelligence.

Essential Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, Physics, or a related technical field.
• Experience working with complex technical or operational datasets, preferably within drilling, energy, industrial, manufacturing, or other operational environments.
• Strong knowledge of:
  • Data management
  • Data contextualization
  • Data quality control
  • Statistical analysis and advanced analytical methods
• Ability to communicate analytical findings effectively to both technical and non‑technical stakeholders.
• Fluent English communication skills, both written and verbal.

Desired Qualifications

• Experience utilizing AI‑powered tools to enhance software development, data analysis, documentation, and workflow automation, such as GitHub Copilot, Claude Code, Claude for Enterprise, or similar technologies.
• Experience with dashboard development, data pipeline design, and analytical product development.
• Knowledge of R or other statistical programming languages.
• Understanding of drilling operations, well operations, or oilfield data environments.
• Familiarity with operational data management and contextualization within industrial or energy‑related settings.
• Technical Skills – proficiency in:
• Python
• SQL
• Power BI
• Spotfire
• Microsoft Excel
• Industry Systems Experience – Experience with one or more of the following systems would be advantageous:
  • OpenWells
  • ProNova
  • Wellcom
  • NOV Max Platform
  • Max Data Services
  • WellData
  • Electronic Drilling Recorder (EDR) systems
  • Drilling Beliefs & Analytics (DBA)
  • Rig Cadence
  • WELS
  • Kabal

Soft Skills

• Strong analytical and critical thinking skills
• Curiosity and a continuous improvement mindset
• Excellent attention to detail and commitment to data quality
• Strong collaboration and stakeholder management skills
• Ability to work effectively across multidisciplinary teams
• Strong problem‑solving and decision‑making capabilities
• Ability to translate complex data into practical business insights