DBS Data Scientist

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. This role combines data science, advanced analytics, and operational domain expertise to support drilling optimization initiatives and drive value from high-density downhole data. You will play a key role in improving how drilling data is managed, contextualized, analyzed, and utilized across the organization and by our customers. About the Company NOV Downhole Broadband Solutions specializes in drilling automation and optimization through advanced real-time downhole data technologies. Leveraging Wired Drill Pipe (WDP) and Along-String Measurement (ASM) solutions, we provide high-density, low-latency data that enables smarter, safer, and more efficient drilling operations. Our technologies help customers improve drilling performance, reduce operational risk, and unlock greater value from their data through innovative digital solutions and advanced analytics. What We Offer At NOV, you will have the opportunity to apply data science in a highly practical operational environment where your work directly impacts drilling performance and customer outcomes. We offer: 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. Qualifications & Skills 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 We are looking fo