Data Scientist - Recommender Systems

October 19

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Crowdsourcing • Business Process Outsourcing • Technology • Contact Center Outsourcing • E-Learning

201 - 500

💰 Debt Financing on 2018-03

Description

• 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

Requirements

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

Benefits

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