Applied Data Scientist and Analyst

Who we are

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.

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 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.

What's in it for you

• International team (8 different nationalities).
• Work equipment of your choice.
• ESOP (Employee Stock Option Plan) for top performers.
• 5 weeks of vacation + Sick days.
• Company mobile plan, Multisport card.
• Hybrid work model and flexible working hours.
• Conferences and training to keep you growing.
• Regular team events and a great company culture.
• Beautiful offices in the heart of Karlín, Prague.