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Procurement Data Science Jobs (NOW HIRING)

... 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 ...

... Procurement * Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

... Procurement * Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

... Procurement * Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

... Procurement * Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ...

... Procurement * Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

... Procurement * Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

... Procurement * Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

... Procurement. * Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ...

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Procurement Data Science information

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How much do procurement data science jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for procurement data science in the United States is $20.47, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $22.84 per hour, depending on experience, location, and employer.

What is procurement data science?

Procurement data science is the application of data analysis, statistical methods, and machine learning techniques to procurement and supply chain processes. Professionals in this field use data-driven insights to optimize sourcing, manage supplier risk, forecast demand, and reduce costs. By leveraging large sets of procurement data, they help organizations make strategic purchasing decisions, improve efficiency, and gain a competitive advantage.

What are the key skills and qualifications needed to thrive as a Procurement Data Scientist, and why are they important?

To excel as a Procurement Data Scientist, you need strong analytical skills, a background in statistics or data science, and familiarity with procurement processes. Expertise in tools such as Python, R, SQL, and procurement-specific platforms like SAP Ariba, along with relevant certifications, is highly valued. Exceptional problem-solving abilities, business acumen, and effective communication help translate complex data insights into actionable procurement strategies. These skills are crucial for driving cost savings, optimizing supplier relationships, and enabling data-driven decision-making in procurement operations.

How does a Procurement Data Scientist typically collaborate with procurement teams and other departments?

Procurement Data Scientists work closely with procurement professionals, category managers, and supply chain teams to analyze purchasing data, identify cost-saving opportunities, and predict market trends. They often participate in cross-functional meetings to understand business needs and translate them into data-driven strategies. Regular collaboration with IT and finance departments is also common to ensure data integrity and align analytics with organizational goals. This collaborative environment allows Procurement Data Scientists to drive impactful decisions and foster innovation within the procurement process.
Infographic showing various Procurement Data Science job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $42,577 per year, or $20.5 per hour.
Senior Data Scientist

Senior Data Scientist

NOV, Inc.

Houston, TX • On-site

Full-time

Posted 12 hours ago


NOV rating

7.9

Company rating: 7.9 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

154th of 417 rated machine equipment manufacturers


Job description

Job Description
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

What NOV employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About NOV

Sourced by ZipRecruiter

Throughout every region in the world and across every area of drilling and production, our family of companies has provided the technical expertise, advanced equipment and operational support necessary for success. We have the people, capabilities and vision to serve the needs of a challenging and evolving industry. One the world can’t live without. We are a global family of thousands of individuals, working as one team to create lasting impact for ourselves, our customers and the communities where we live and work. We take responsibility for each other and our company’s future, knowing that personal ownership leads to broader success. We believe in purposeful innovation because we see what others do not and we act. Through business innovation, product creation and service delivery, we are driven to power the industry that powers the world better.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1841