Business Data Scientist

NOV

full-time

Posted on: 1/7/2026

Location Type: Hybrid

Location: Houston • Texas • United States

✨ AI Apply

About the role

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.

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.