Principal Data Scientist

Hybrid Full TimeHouston, Texas, United StatesNOV

We are seeking a highly technical, hands-on leader in data analytics and engineering with deep expertise in Python, SQL, and modern data platforms. This role focuses on delivering scalable, production-grade analytics solutions that drive measurable impact across manufacturing and supply chain operations.

Requirements

  • Develop and deploy advanced analytics solutions using Python and Snowflake SQL
  • Design and manage Snowflake architecture, including environment promotion (dev/test/prod)
  • Build interactive dashboards and applications (Power BI, Sigma, QlikView, Streamlit)
  • Implement CI/CD pipelines and automate workflows using GitHub
  • Develop and deploy cloud-native, containerized applications
  • Design secure APIs and service-account-based architectures
  • Apply test-driven development (TDD) and implement robust rollback strategies
  • Perform large-scale data modeling, transformation, and wrangling across relational systems
  • Leverage deep understanding of ERP/MRP systems and data models
  • Translate and optimize core operational workflows: Order-to-Cash, Procure-to-Pay, Demand-to-Deliver
  • Drive improvements across enterprise-scale manufacturing and supply chain processes
  • Translate business needs into scalable technical solutions—and technical outcomes into business value
  • Deliver ROI-driven analytics that influence strategic decisions
  • Communicate effectively with executive stakeholders
  • Lead and collaborate across cross-functional, global teams
  • Demonstrate measurable business impact through data-driven initiatives

Benefits

  • 401(k) Retirement Plan
  • Competitive medical plans
  • FREE MDLIVE virtual visits
  • FREE preventative medical and dental care for the entire family
  • FREE Basic Life and AD&D insurance at 2 times your annual salary
  • Paid vacation per year
  • Paid holidays per year

To apply for this job please visit egay.fa.us6.oraclecloud.com.

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