Job Description

• Pune

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.

Responsibilities:

• 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.

Requirements:

• 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.

Preferred Qualifications:

• 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.