Applied Data Scientist and Analyst (R, Python, SQL)

Who we are

At Yieldigo, we help leading retailers make smarter pricing and promotion decisions through advanced analytics, machine learning, and optimization.

This role sits at the intersection of Data Science, Data Engineering, and Analytics. We are looking for a professional who enjoys building proprietary mathematical 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.

Key Responsibility Areas

Develop, test, and maintain statistical models, machine learning algorithms, and analytical solutions that power our pricing platform
Design, build, and optimize data pipelines that transform raw retail data into reliable datasets for analytics and machine learning
Work across the full data lifecycle, including data ingestion, validation, monitoring, transformation, and quality assurance
Collaborate closely with Product, Engineering, and other teams to bring analytical solutions into production
Improve automation and efficiency of data-processing and analytical workflows
Participate in code reviews, architectural discussions, and continuous improvement initiatives

How do we picture you

You have strong analytical thinking and enjoy solving complex problems with data
You graduated at CUNI MFF / CTU FNSPE (Matfyz/FJFI) – we see this as an advantage
You have good understanding complex workflows with direct business impact is a challenge that entices you
You have hands-on experience with R, Python, SQL, or a combination of these technologies
You understand statistics, machine learning fundamentals, and data modeling concepts
You are comfortable working with large datasets and building reliable data workflows
You speak English and Czech – at least level C1 / Full working proficiency.

What's in it for you

This is a place where your work has a visible impact. The models you build won’t stay in notebooks – they’ll help some of Europe’s leading retailers make better pricing decisions every single day.

Work on complex, real-world machine learning and optimization problems with direct business impact
Freedom to experiment, challenge ideas, and influence how we build our product
Close collaboration with experienced engineers, data scientists, and product specialists who genuinely enjoy sharing knowledge
A chance to grow with a company that’s scaling internationally while keeping the agility of a smaller team
Work alongside experienced professionals passionate about AI, retail and enterprise software
Competitive compensation package, new offices in the heart of Karlín, Prague

Your leader

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.

Lukáš Ulrych

Data Science Lead

Apply now

Location

Prague

Employement

Full time

Form of cooperation

Contract

Languages

Czech, English

Experience

Medior, Senior