Overview
Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting.
Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favorite sports teams and competitions.
How do they use it?
Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine.
We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience!
Our teams of technical experts specialize in harnessing live sporting data, using advanced cloud technologies, Java, JavaScript and Python. It is these tech teams that enable us to extract patterns through AI and Machine Learning and deliver our insights via APIs. In short, they turn complex data into magical experiences with cutting-edge technology.
Responsibilities:
We’re looking for a QA Engineer (mid-level — 3+ years) who codes automation in Python and loves experimenting with AI/ML. You’ll own green-field POCs, extend our web/API/data-validation frameworks, and keep traditional QA discipline—requirements analysis, structured testing, and clean defect management—at the core.
What You’ll Do-
• Build: Design and maintain Python-based frameworks for web, API, and data-quality testing.
• Experiment: Spin up AI/ML POCs (e.g., intelligent bug prediction, self-healing tests) and integrate the winners into CI/CD.
• Improve: Drive coverage, architecture, and release quality across the QA organisation.
• Collaborate: Partner with engineering, data science, and DevOps to deliver high-quality releases.
Desired Qualifications:
• 3+ years writing production-grade Python automation (pytest, Playwright/Selenium).
• Proven track record creating automation frameworks from scratch.
• Hands-on ML experience (scikit-learn, TensorFlow, or PyTorch).
• Deep grasp of functional, integration, regression, and system testing.
• Solid API (Postman/REST Assured) and SQL/data-validation skills.
• Git, Jenkins/GitHub Actions, and a CI/CD mindset.
• Good to have - AI-driven testing tools, performance or security testing, Docker/Kubernetes, BDD (Behave, pytest-bdd).
Why Join Us:
• Green-field opportunity to lead AI-powered QA initiatives.
• Freedom to experiment in a supportive, “builder” culture.
• Competitive package, flexible location, and a team that loves pushing modern QA forward.
Why work at Stats Perform?
We love sports, but we love diverse thinking more!
We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution.
We take care of our colleagues
We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules.
We pull together to build a better workplace and world for all.
We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups.
Diversity, Equity, and Inclusion at Stats Perform
By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values.
With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.
Company:
Stats PerformEmployee Type:
Full timeLocation:
IndiaSalary:
$ 56000 - $ 104000