The Role
Lead cross-functional data science initiatives to build scalable ML and forecasting solutions for demand, capacity, procurement, and financial forecasting. Architect production-ready models on cloud platforms, ensure monitoring and retraining, drive standardized methodologies, and translate analytics into strategic recommendations for executive leadership.
Summary Generated by Built In
Reports to: VP Data & Analytics
As a Senior Data Scientist, you will:
- Partner with business leaders to identify high-value opportunities in areas such as demand planning, capacity/production planning, procurement, and financial forecasting
- Develop a firm understanding of specific business processes and real-world workflows
- Work closely with cross-functional teams including domain experts, business analysts, data engineers and software engineers
- Lead data science initiatives that impact operations globally across multiple business units
- Define project scope, timelines and deliverables in collaboration with business leaders
- Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS, Azure, Databricks, and Snowflake
- Ensure models are production-ready, robust, and maintainable with appropriate monitoring and retraining pipelines
- Develop standardized methodologies and frameworks to ensure scalability and consistency across diverse environments
- Ensure compliance with data governance, privacy, and security standards while scaling analytics solutions globally
- Manage and mentor interns, junior data scientists and analysts
- Translate advanced analytics results into strategic recommendations for VP and C-level leadership
- Utilize programming languages such as SQL, Python for data manipulation, analysis and model development
SUGGESTED QUALIFICATIONS
- Master’s degree in a quantitative discipline
- Five or more years of professional data science experience in manufacturing and/or supply chain environments
- Hands-on experience working with ERP data and operational processes including order-to-cash, procure-to-pay, and demand-to-deliver
- Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences
- Advanced proficiency in Python, SQL and PySpark; experience wrangling large relational datasets
- Deep expertise in machine learning, forecasting and optimization
- Experience deploying enterprise-scale solutions in cloud environments (AWS experience preferred)
- Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly
- Knowledge of Streamlit for building interactive data applications preferred
- Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management
- Demonstrated ability to drive business impact and ROI through analytics
- Strong track record of executive-level communication and influence
- Experience leading cross-functional teams across multiple geographies
Skills Required
- Master's degree in a quantitative discipline
- Five or more years of professional data science experience in manufacturing and/or supply chain environments
- Hands-on experience working with ERP data and operational processes (order-to-cash, procure-to-pay, demand-to-deliver)
- Advanced proficiency in Python, SQL and PySpark
- Deep expertise in machine learning, forecasting and optimization
- Experience deploying enterprise-scale solutions in cloud environments
- AWS experience
- Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly
- Knowledge of Streamlit for building interactive data applications
- Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management
- Proven ability to communicate complex technical concepts to technical and non-technical audiences
- Demonstrated ability to drive business impact and ROI through analytics
- Experience leading cross-functional teams across multiple geographies
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
NOV delivers technology-driven solutions to empower the global energy industry. For more than 150 years, NOV has pioneered innovations that enable its customers to safely produce abundant energy while minimizing environmental impact. The energy industry depends on NOV’s deep expertise and technology to continually improve oilfield operations and assist in efforts to advance the energy transition towards a more sustainable future. NOV powers the industry that powers the world.
