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Homeoffice Data Scientist – Recommender Systems

ARRISE powering Pragmatic Play · Union européenne · France · Remote

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Revolutionize the gaming experience through cutting-edge recommender systems

About you:

You are a passionate and self-driven Data Scientist with a keen eye for innovation and a thirst for pushing boundaries. With your deep expertise in recommendation algorithms and machine learning, you thrive in fast-paced environments where excellence is the norm, and continuous improvement is a way of life. You are ready to take on complex challenges, deliver impactful solutions, and contribute to the development of groundbreaking gaming experiences that captivate audiences worldwide.

What you will do:
  • Design and develop advanced recommendation algorithms to deliver tailored recommendations to our diverse user base
  • Improve the efficiency and scalability of recommendation systems to handle large volumes of data and ensure fast response times
  • Conduct rigorous A/B testing to validate and iterate recommender models for optimal performance
  • Efficiently handle and integrate data from various sources, including APIs, databases, and Google Analytics
  • Collaborate with cross-functional teams across data and engineering to produce solutions to complex problem statements
  • Continuously monitor system performance, troubleshoot issues, and implement improvements/optimizations
  • Create and maintain dashboards that provide actionable insights into recommender system performance
  • Stay updated with the latest trends and advancements in recommender systems and machine learning


Qualifications and requirements:

Required:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Strong proficiency in Python, with extensive experience in PyTorch and/or TensorFlow
  • Proven experience in managing and analyzing large datasets
  • Solid understanding of relational and NoSQL databases
  • In-depth experience with Retrieval, Ranking, Batch, Live and Sequential recommendations
  • Knowledge of architectures for recommenders such as Two-Tower, DLRM, DCN
  • Excellent problem-solving, analytical, and communication skills


Nice to have:
  • Experience with NVIDIA Merlin, TensorFlow Recommenders, NVTabular
  • Knowledge of unit and integration tests (Pytest), CICD pipelines, data versioning, model management, experiment tracking
  • Familiarity with key recommender metrics and optimization techniques, Docker


Benefits:
  • Highly competitive salary
  • Comprehensive company training on highest standards
  • Friendly and supportive culture
  • Tremendous growth opportunities in a large, fast-moving international company


About us:

ARRISE, a leading supplier of player-favorite content to the iGaming industry. We are a software development and services company delivering end-to-end digital solutions. Headquartered in Gibraltar with offices around the world, including Malta, Romania, India, Canada and Bulgaria, we are a global team of over 5,000 talented individuals with decades of experience across multiple industries and professions. Together, we form a cross-functional powerhouse that is driven to deliver.