# Data Scientist

> Talentgrator · Prague, Czechia · Full-time · Posted 2026-09-02

**Workplace:** on_site

**Department:** Game Provider

## Description

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

## Apply

[Apply at Talentgrator](https://apply.workable.com/talentgratorjobs/j/E20E513CA4/apply)

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