Data Quality Engineer

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa?

🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.

Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.

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