Data Scientist - RecSys

Pragmatic Play; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Pragmatic Play seeks a Data Scientist focused on recommendation systems in the United States. You will design and optimize ML models and data pipelines to enhance gaming experiences, with strong emphasis on Python-based development.

You will collaborate with Data Engineers and Software Engineers to build production-ready solutions, ensuring robust data flows and scalable ETL processes for batch and real-time needs, and you will validate model performance through A/B testing.

Qualifications

• Strong Python and ML skills.
• Experience designing and optimizing ML models and data pipelines.

Responsibilities

• Design, implement, and optimize end-to-end recommendation pipelines.
• Collaborate with Data Engineers and Software Engineers to deploy production-ready solutions.
• Evaluate model performance with A/B testing and monitor impact on metrics.

Skills

Python

Recommendation systems

Tools

ETL pipelines

Job description

Pragmatic Play seeks a Data Scientist focused on recommendation systems. This role involves designing and optimizing ML models and data pipelines to enhance gaming experiences. Candidates with strong Python and machine learning skills should apply.

In this role, you will design, implement, and optimize end-to-end recommendation pipelines, ensuring robust data flows and model performance. Your work will involve integrating multi-modal data and developing scalable ETL processes that support both batch and real-time needs.

You will collaborate closely with Data Engineers and Software Engineers to create production-ready solutions. Success will be measured by the quality of recommendations and their impact on key business metrics, with a focus on continuous improvement and A/B testing to validate model performance.