Data Quality Engineer

Coupa makes companies operate smarter and grow faster. Our leading AI-driven platform connects and optimizes sourcing, purchasing, supply chains, and financial management. More than 3,000 global organizations large and small trust Coupa to transform operating margins, increase efficiencies and growth, optimize cash, and reduce risk.

What you will do:

• Ensure the quality and reliability of data used in ML/AI and Generative AI products
• Perform thorough Data Analysis: evaluating Data Quality, Test Machine
• Learning Models & Visualizations, outlier detection, and the use of statistical methods to define and monitor valid data ranges.
• Collaborate with data scientists, engineers, and product managers to understand the data needs and requirements of different AI applications
• Develop an automation strategy to develop automated tests to validate large data sets across products in Coupa
• Develop test strategies, create test plans, and execute test cases – both manually and via automation to test Coupa's data-oriented products and data Integrations
• Design, implement, and maintain data validation frameworks and data quality monitoring systems
• Work closely with Scrum team members to clarify requirements, ensure testability and automatability, and provide feedback on design (functional and technical)
• Analyze the potential impact of the requirement changes, assess risk, and be a vocal champion for quality in every phase of the development process
• Continue to improve automation coverage & reduce regression cycles

What you will bring to Coupa:

• Experience writing complex queries on large customer data sets
• Familiarity with ML/AI and Generative AI techniques, frameworks, and associated toolchains
• Understanding of statistical analysis and familiarity with core statistical functions
• Strong hands-on experience working with APIs & API automation
• Excellent communication skills & ability to drive & collaborate with cross teams
• Experience working in Agile development processes & working with offshore teams

It would be great if you can also bring:

• BS in CS, Economics, Statistics, or Mathematics with 3-5 years of experience in Data Testing
• Knowledgeable in Predictive Analytics, machine learning trade-offs, and model evaluation
• Strong scripting experience with Python, SQL, and tools for data analysis and manipulation

#LI-Hybrid

#LI-VB1

At Coupa, we’re building a great company that is laser-focused on three core values: ensuring customer success with an obsessive and unwavering commitment to making customers successful, focusing on results with a relentless focus on delivering results through innovation and having a bias for action, and striving for excellence with our commitment to a collaborative environment infused with professionalism, integrity, passion, and accountability.

At Coupa, we have a solid and innovative team dedicated to improving the spend management processes of today's dynamic businesses. We celebrate diversity and recognize its value to our customers and employees. Coupa is proud to be an equal-opportunity workplace and affirmative-action employer. Learn more about our commitment to fostering diversity, equity and inclusion at Coupa here. All qualified applicants will receive consideration for employment regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or any other applicable status protected by state or local law. 

Please be advised that inquiries or resumes from recruiters will not be accepted. By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.