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
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