Business Data Scientist

NOV•Houston, TX

About The Position

NOV is a leading provider of technology, equipment, and services to the global oil and gas industry that supports customers’ full-field drilling, completion, and production needs. Since 1862, NOV has pioneered innovations that improve the cost-effectiveness, efficiency, safety, and environmental impact of oil and gas operations. We're continually pushing our own standards higher to deliver the safest, most efficient, and most reliable drilling solutions in the world. Join us as we continue to power the industry that powers the world. NOV Rig Technologies makes and supports the world’s most advanced drilling solutions. To learn more about Rig Technologies products and services, please visit us at https://www.nov.com/about/our-company-structure/rig Business Data Scientist The Business Data Scientist will develop and deliver advanced analytics and machine learning models to support business performance, strategic decision-making, and operational optimization across the organization. This role leverages diverse data sources such as ERP, CRM, and macroeconomic data, utilizing Python and Snowflake to generate actionable insights that drive revenue growth and improve bottom-line results. Responsibilities include building predictive models, managing large-scale data processing, and maintaining dashboards and visualizations with Power BI. The position requires collaboration with cross-functional teams and participation in data governance, along with a strong technical background in modern analytics tools and methods.

Requirements

Master’s degree preferred in Data Science, Mathematics, Computer Science, Economics, Statistics, Business, Industrial Engineering, or a related field.
5+ years of experience in data science, analytics, business analysis, or a related discipline, ideally in a manufacturing, industrial, or similarly complex environment.
Demonstrated expertise in developing analytics that drive revenue growth, cost reduction, and improved bottom-line performance.
Experience with machine learning methods and frameworks for predictive modeling, classification, clustering, and optimization.
Experience with ERP and CRM systems, relational databases, and modern analytics tools (e.g., Python, R, SQL, or other scalable packages).
Strong proficiency with Snowflake as a data platform and Power BI for data visualization and dashboard creation.
Experience with large, multi-dimensional data sets and business intelligence software.
Proven success in a collaborative, team-oriented environment.
Advanced proficiency in data analysis, automation, and visualization using modern analytics tools and programming languages.
Experience using Snowflake for backend data processing, integration, and analytics.
Expertise with business intelligence and reporting platforms, particularly Power BI.
Experience working with large-scale, distributed data systems and cloud-based data infrastructure.
Ability to manage multiple priorities and communicate effectively with stakeholders across business units.
Experience with process innovation, change management, and continuous improvement.
High degree of business acumen, situational awareness, and the ability to influence and drive cross-functional initiatives.
Action-oriented, goal-driven, and agile, with a clear analytical mindset.
Excellent interpersonal, listening, oral, and written communication skills.
Strong problem-solving skills, both independently and within teams.
Ability to build consensus and influence stakeholders to drive data-driven business improvement.

Responsibilities

Develop and deliver advanced analytics to support business performance, strategic decision-making, and operational optimization across the organization.
Leverage ERP, CRM, and external macroeconomic data to generate actionable insights for leadership and cross-functional teams.
Build predictive analytics and segmentation models to support business growth initiatives, increase revenue, and enhance bottom-line performance.
Design, implement, and deploy machine learning models to solve complex business problems and uncover actionable insights that support business growth and profitability.
Develop and maintain dashboards and reporting tools to monitor key business metrics and performance indicators.
Conduct data mining, statistical analysis, and data visualization to identify trends, opportunities, and areas for business process improvement.
Collaborate with stakeholders across departments to drive adoption of analytics and data-driven changes in business practices.
Participate in and support Data Governance initiatives to ensure the quality, consistency, and effective use of enterprise data.
Design and deliver reports and metrics that demonstrate business performance, efficiency, and progress toward organizational goals.
Assist in developing and implementing systems and process improvements within operational and strategic business areas.
Document requirements and support change management for process improvements.
Ensure compliance with company objectives, HSE, and quality standards.