Data QA Automation Engineer (m/f/d)

About Buynomics: 

“What will customers buy?” is the crucial question underlying all commercial decisions in all companies. Buynomics has developed Virtual Shopper technology, which answers this question 100x faster and more precisely than every other solution. This will end the common practice of gut feeling. Our goal is to enable companies to make data-driven, transparent, and customer-centric commercial decisions. For that, we build the operating system for commercial decisions that provides companies with a single source of truth to answer all their market-facing questions including pricing, product offers, and promotions. 

Buynomics is the next-generation SaaS company in pricing and product optimization. It employs large-scale simulation technologies to digitize customers and predict their purchase behavior - in any environment. Our clients use Buynomics to make data-driven decisions about their current and new products, overall portfolio structure, pricing, promotions, trade terms, and more!

Job Summary:

We are looking for a passionate Data QA Automation Engineer to join our Machine Learning Applications Team. We offer an exciting opportunity to work in a young team with a modern tech stack with the chance to shape crucial processes and take on responsibility early on.

In this role, you will lead efforts to ensure the highest quality for our ML systems, pipelines, and models. You will drive stability, performance, and reliability. By collaborating with cross-functional teams, you will ensure that our ML models deliver high-value impact from day one.

Responsibilities:

• Develop automated testing frameworks for ML pipelines, APIs, and models using Python, pytest, and AWS services
• Design and implement test plans for data validation, model evaluation, and system integrations
• Work with Modeling, Engineering, and Simulation teams to ensure ML models and infrastructure are tested thoroughly
• Handle high-priority issues by performing quick data analysis and scripting to troubleshoot performance or stability problems
• Continuously improve automated testing approaches, driving efficiency in the QA process
• Oversee the performance of ML systems and address any issues to ensure reliability in production
• Actively contribute to QA automation efforts and drive value from day one

Requirements:

• 3+ years of experience in automating testing processes and improving system performance or related field
• Strong knowledge in Python, Git, CI/CD pipelines, pytest-related libraries (pytest-xdist, pytest-cov, pytest-mock) and AWS services (S3, Lambda, Step function, Batch job, Cloud watch, python boto3 library)
• Deep understanding of QA techniques and testing principles
• Strong problem-solving skills to address data consistency and edge cases in ML systems
• Hands-on mentality & ability to thrive in a fast-paced environment with shifting priorities
• Good communication skills in English - any other language is a plus

Preferred Qualifications:

• Experience in developing automated test frameworks for ML pipelines and APIs
• Academic background in a Data related field

What we offer:

• A vibrant, international, and diverse work environment
• Flexible work options: remote within the EU with occasional visits to our Cologne HQ or Barcelona office or a hybrid setup in one of these locations
• A dedicated learning budget to support your professional growth and development
• Local language lessons (Germany and Spain)
• Health and fitness benefits (Germany and Spain)
• Personal and professional growth opportunities
• Regular company events

To ensure a smooth and efficient process and that no applications are overlooked, please apply directly to the role. While we'd love to respond to everyone who reaches out, applying ensures that your application is properly tracked and considered.

Buynomics is proud to be an equal opportunity employer. This means that we don’t discriminate based on race or ethnic origin, color, the language(s) you speak, where you (or your parents) are from, or whether or not you consider yourself to have a disability. Neither will your age, gender, gender identity, sexual orientation, religion, beliefs, or political opinions play a part in your application with us. We’re a diverse team in so many ways, and we love it that way.