{"id":34240,"url":"https://alion.io/job/razer-senior-data-scientist","title":"Senior Data Scientist","company":{"id":3457,"name":"Razer","domain":"razer.com","url":"https://alion.io/company/razer","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":39,"ghost_share":0,"stale_share":0.949,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":55000,"max_usd":118000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":39},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Edge AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TensorFlow","optional":false},{"name":"Unity","optional":false},{"name":"Unreal Engine","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Diffusion Models","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2025-05-13T00:00:00Z","employer_posted_date":"2025-05-13","last_verified_at":"2026-10-17T17:19:47Z","board_verified":true,"closed_at":null,"days_open":522,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":522},"description":"Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.\nJob Responsibilities :\nThis Senior Data Scientist role will focus on designing and developing advanced AI-driven solutions for game developers and gamers. The ideal candidate will have strong expertise in Reinforcement Learning (RL), Generative AI agents, and Retrieval-Augmented Generation (RAG) to create intelligent gaming tools and experiences. This role involves working closely with AI engineers, game developers, and software engineers to build cutting-edge AI capabilities that enhance game mechanics, player engagement, and content generation.Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications.\nDevelop and optimize agents and advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences.\nCollaborate with game developers, designers, and software engineers to integrate AI models into game development workflows.\nBuild and optimize AI-powered gaming tools, enabling developers to create more immersive and dynamic player experiences.\nDevelop and fine-tune models to improve AI in gaming applications.\nAnalyze and preprocess game data, training AI models to adapt and improve in-game decision-making processes.\nStay updated on the latest advancements in AI for gaming, ensuring our solutions remain state-of-the-art.\nEvaluate model performance and drift through experimentation and benchmarking, improving efficiency and scalability.\nAssist in the deployment, monitoring, and maintenance of AI models in production environments.\nDocument findings, methodologies, and research for internal knowledge sharing and external publications, where applicable\nPre-Requisites :\nStrong background in Reinforcement Learning (RL), Generative AI agents, and RAG (Retrieval-Augmented Generation).\nProficiency in Python and experience with PyTorch or TensorFlow for deep learning.\nExperience with game engines such asUnity and Unreal Engine is a plus.\nFamiliarity with LLMs, transformers, diffusion models, and self-learning AI systems.\nExperience in training and fine-tuning large-scale AI models.\nExperience with cloud-based AI deployment (AWS, GCP, or Azure).\nStrong problem-solving skills and ability to translate research into practical solutions.\nExcellent verbal and written communication skills to collaborate with technical and non-technical teams.\nPassion for gaming and an understanding of game mechanics, AI-driven storytelling, and player engagement strategies.\nEducation & Experience\nMaster’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.).\n1+ years of experience in AI research or applied machine learning, preferably in gaming or interactive media.\nTravel Requirements\nRole based in Singapore office, with occasional travel (up to 1 trip per year) for conferences, research collaborations, or business meetings.\nAre you 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