Data Scientist

About this role

Our client is a leading slot games provider in the online gambling industry, headquartered in Prague. The company is recognized for creating innovative, high-quality games with engaging mechanics and immersive design, enjoyed by players worldwide. With a strong international presence across Prague, Malta, and Latin America, they continue to set benchmarks in the iGaming market.

Requirements

• 2+ years of experience in Data Engineering / Data Science / Machine Learning.

• Strong Python skills and experience with data processing, automation, and building data services.

• Hands-on experience with ETL/ELT tools and frameworks such as Airflow, dbt, or similar solutions.

• Experience working with REST APIs, including authentication, pagination, error handling, and data integration.

• Strong knowledge of SQL and experience with databases such as MySQL, PostgreSQL, and other relational/non-relational DBMS.

• Experience designing and maintaining scalable data pipelines and infrastructure.

• Experience with data collection, parsing, transformation, cleaning, aggregation, and validation.

• Practical experience developing and improving machine learning models for forecasting, classification, recommendations, anomaly detection, or similar business use cases.

• Strong understanding of predictive modeling and analytical algorithms.

• Experience working with large volumes of structured and unstructured data.

• Ability to monitor data quality, pipeline stability, and optimize performance.

• Strong analytical and problem-solving skills.

• Ability to work effectively with Analytics, Product, Engineering, and Business teams.

• Good technical documentation skills.

• Experience in iGaming or another data-driven industry would be a strong advantage.

Responsibilities:

• Development and maintenance of automated data pipelines using ETL tools and frameworks such as Airflow, dbt, and other data automation solutions

• Writing Python scripts and services for data parsing, scraping, collection, transformation, and integration from various external and internal sources

• Experience working with REST APIs, including data extraction, authentication, pagination, error handling, and integration with internal and external data sources

• Designing, optimizing, and supporting databases including MySQL, PostgreSQL, and other relational/non-relational DBMS

• Building scalable data infrastructure for analytics, reporting, and machine learning projects

• Collecting, aggregating, cleaning, and validating large volumes of structured and unstructured data

• Developing, training, and improving machine learning models for forecasting, classification, recommendation systems, anomaly detection, and other business tasks

• Creating predictive models and analytical algorithms based on historical and real-time data

• Working closely with analytics, product, engineering, and business teams to implement data-driven solutions

• Monitoring data quality, pipeline stability, and performance optimization

• Preparing technical documentation for data flows, models, and infrastructure

Benefits

• Full-time employment

• Opportunity to build a career in a fast-growing international IT company

• Cool office with a friendly international team

• Corporate events and team-building activities

• Multisport card after probation period