Recommendation Systems Engineer - ML & Data Pipelines

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 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.