At Yieldigo, we help leading retailers make smarter pricing and promotion decisions through advanced analytics, machine learning, and optimization. Our platform processes large volumes of retail data and transforms them into actionable recommendations that improve revenue, margins, and customer satisfaction.
This role sits at the intersection of Data Science, Data Engineering, and Analytics. We are looking for someone who enjoys building models, understanding data, and transforming insights into production-ready solutions. You will not only create algorithms but also help shape the data foundations and analytical capabilities that drive our platform forward.
We are looking for a Data Scientist who lives for applied statistics and machine learning and wants to see their models running in a real-world product. You won’t just be “doing research” into a drawer; you’ll be a key part of the R&D team, collaborating closely with developers to power the computational engine that drives our entire application.
Our tech ecosystem includes Backend, Frontend, R&D, and QA. Within R&D, your primary playground will be R and advanced statistics, with a healthy dose of Python and SQL. We breathe Agile—think bi-weekly sprints, daily stand-ups, and retrospectives—and we take code quality seriously through rigorous reviews and modern dev practices.
Lukáš is the lead of our Data Science (R&D) team, guiding the work that takes data from first exploration all the way through analysis, modelling, and clear explanation. His own 7-year journey from junior to team lead means he knows what growth here actually looks like – and how to support it.
He values responsibility, diligence, and self-awareness above polished answers, and he’s built a team where “can you explain this to me?” is treated as the strongest thing you can say.
Prague
Full time
Contract
Czech, English
Medior, Senior
