Data Quality Engineer

Coupa makes companies operate smarter and grow faster. The leading AI-driven platform of Coupa 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. You will be responsible for ensuring the quality and reliability of data used in ML/AI and Generative AI products. This involves performing thorough Data Analysis, evaluating Data Quality, testing Machine Learning Models & Visualizations, outlier detection, and using statistical methods to define and monitor valid data ranges. Additionally, you will collaborate with data scientists, engineers, and product managers to understand the data needs and requirements of different AI applications. Your role will also involve developing an automation strategy to create automated tests that validate large data sets across products in Coupa. You will design, implement, and maintain data validation frameworks and data quality monitoring systems. Working closely with Scrum team members, you will clarify requirements, ensure testability and automatability, and provide feedback on design in both functional and technical aspects. To succeed in this role, you should bring experience in 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 proficiency in working with APIs & API automation. Strong communication skills and the ability to drive collaboration across teams are essential, along with experience in Agile development processes and working with offshore teams. It would be beneficial if you also possess a Bachelor's degree in CS, Economics, Statistics, or Mathematics with 3-5 years of experience in Data Testing. Knowledge in Predictive Analytics, machine learning trade-offs, and model evaluation is desirable. Strong scripting experience with Python, SQL, and tools for data analysis and manipulation would be an added advantage. At Coupa, the core values focus on ensuring customer success, delivering results through innovation, and striving for excellence in a collaborative environment. The company emphasizes professionalism, integrity, passion, and accountability in all endeavors. Please note that inquiries or resumes from recruiters will not be accepted. By submitting your application, you acknowledge that Coupa receives and collects your application, including personal data, for managing ongoing recruitment and placement activities, including employment purposes. More details about the processing of your application and retention policies can be found in Coupa's Privacy Policy.,