SH
Lead Clinical Data Science function with a focus on data quality assurance and cross - functional collaboration. Ensure compliance and data integrity in clinical trials.
About the role
- Business Data Scientist delivering machine learning models and analytics for NOV, enhancing operational performance and strategic decisions in the oil and gas sector.
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.
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.
Job title
Job type
Experience level
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