Match score not available

Data Scientist - Recommender Systems

Remote:

Full Remote

Contract:

Full time

Work from:

Malta

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering or related field, Strong Python skills, experience with PyTorch and/or TensorFlow, Proven expertise in data analysis and large dataset management, Familiarity with relational and NoSQL databases, recommender architectures.

Key responsabilities:

Design and develop recommendation algorithms for user base
Improve system efficiency to handle large data volumes
Conduct A/B testing and integrate data from various sources
Collaborate with cross-functional teams to solve complex problems
Monitor system performance, implement optimizations, stay updated on trends

Pragmatic Play Computer Software / SaaS Large https://www.pragmaticplay.com/

1001 - 5000 Employees

See more Pragmatic Play offers

Job description

Description

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.