Business Data Scientist

This role focuses on turning business data into predictive models, dashboards, and actionable insights by partnering with cross-functional teams and working with enterprise systems and external economic data.

Key Responsibilities

• Develop and deliver advanced analytics and machine learning models to support business performance and strategic decision-making.
• Integrate data from ERP, CRM, and macro-economic sources to produce actionable insights for leadership and functional teams.
• Design, implement, and deploy predictive, classification, clustering, and optimization models.
• Create and maintain Power BI dashboards and reporting tools to track key performance indicators.
• Perform data mining, statistical analysis, and visualizations to surface trends and improvement opportunities.
• Collaborate with stakeholders to support adoption of analytics-driven process changes.
• Participate in data-governance initiatives to help ensure data quality, consistency, and compliance.
• Document requirements, support change management, and assist with process-improvement efforts.
• Manage large-scale data processing workflows in Snowflake and help ensure reliability of cloud-based data infrastructure.
• Communicate findings and recommendations clearly to both technical and non-technical audiences.
• Perform other related tasks as assigned.
• Comply with all NOV Company and HSE policies and procedures.

Required Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Engineering, or a related field.
• 5+ years of experience, or equivalent education, in data science, analytics, or business analysis in a manufacturing or industrial environment (preferred).
• Proficiency in Python, SQL, and modern analytics libraries used for machine learning and statistical modeling.
• Proven ability to build models that support revenue growth, cost reduction, and bottom-line improvement.
• Strong communication, stakeholder management, and collaboration skills.
• Experience with process innovation, change management, and continuous improvement methodologies.
• Action-oriented mindset with strong problem-solving abilities and business acumen.

Preferred Qualifications

• Master’s or Ph.D. degree in Data Science, Statistics, Computer Science, Economics, Engineering, or a related field.
• Strong experience with Snowflake for data warehousing, integration, and analytics.
• Expertise in Power BI for visualization, dashboard creation, and reporting.
• Hands-on experience with ERP and CRM systems and large, multi-dimensional data sets.

Technology Stack

Python, Snowflake, Power BI, SQL, ERP, CRM

Location and Work Setup

Houston, TX (onsite)

Minimum Experience

5 years