About us: Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.
About the client: Our client is a US-based Automotive finance calculation and online marketing data aggregation SaaS. The product is oriented on the B2B segment, specifically on Sales and Marketing Managers in the US Automotive niche. The goal of the product is to eliminate existing data lack, providing a modern UI/UX experience.
Requirements: — 5+ years of solid experience in QA/QC theory and in using best practices. — Knowledge of API & integration testing. — Strong analytical skills (Excel, fast learner). — Familiar with Grok, GPT, and Cursor. — Hands-on experience in test design, test planning, bug lifecycle management (test automation is a plus). — Knowledge of QA/QC infrastructure: Jira, Confluence, CI/CD, reporting, Docker.
Responsibilities: — Design, maintain, and execute test plans and test cases for API and integration testing. — Collaborate with developers and product managers to clarify requirements and ensure test coverage. — Analyze data flows and calculations in Excel and validate system outputs. — Identify, document, and manage defects throughout the bug lifecycle. — Participate in planning sessions, providing QA input and risk assessment. — Work with QA infrastructure tools (Jira, Confluence, CI/CD pipelines, Docker) to ensure smooth testing processes. — Contribute to building and maintaining QA documentation, reports, and dashboards. — Stay up to date with modern tools (e.g., Grok, GPT, Cursor) to enhance QA efficiency. — Support automation efforts by designing and maintaining automated test suites.
