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Gameopedia

Data Scientist

AI/Agent Engineer

Senior Content Writer

As a Data Scientist at Gameopedia, you'll be crucial in developing their Gaming LLM.  Responsibilities include fine-tuning LLMs with domain-specific data, designing strategies for hierarchical classification and structured output generation (JSON), conducting experiments to improve model performance, managing training datasets, collaborating with engineers on model integration, and staying current on AI advancements.  You'll contribute directly to improving game discovery, personalization, and development by building models capable of understanding nuanced game descriptions and generating accurate, structured outputs for their products and APIs.

<div class="mx-auto max-w-[750px] prose font-company-body overflow-hidden break-words [&amp;_ol_li_li]:list-[lower-alpha]" data-controller="careersite--responsive-video">
 Help Build Groundbreaking AI for Gamers as our new Data ScientistIf you’re ready to combine your passion for AI and gaming into something extraordinary, this is your chance. We’re on a mission to revolutionise how the world discovers, interacts with, and creates games and we need your expertise to make it happen. <h4 dir="ltr">How We Make an Impact</h4>Gameopedia began with a simple mission: to be the ultimate gamer friend, helping gamers discover the best games with top-tier recommendations. Today, we've grown into a company that delivers industry-leading video game data and insights to some of the world’s biggest companies, including Google, YouTube, Samsung, LG, and Amazon, shaping millions of gaming decisions globally.As the global leader in game metadata, with metadata for more than 200K games, we are benefiting from the advances of LLM’s and fast becoming an AI-first company; crafting advanced AI solutions that transform the gaming industry, enhancing game discovery, personalisation, and game development. At the core of this effort is our specialised domain-specific LLM, designed to combine the power of large language models with deep gaming knowledge to shape the future of gaming. <h4 dir="ltr">How You'll Make an Impact</h4>As a Data Scientist, you’ll be a driving force behind our Gaming LLM. You will be instrumental in building models capable of understanding nuanced game descriptions, classifying game elements according to complex taxonomies, and generating accurate, structured outputs for integration into our products and APIs, directly contributing to our mission. <h4 dir="ltr">What we expect you to do</h4><ul>
<li dir="ltr">Fine-tune LLMs using domain-specific data, ontologies for enhanced game classification and understanding.</li>
<li dir="ltr">Develop and implement strategies for hierarchical classification and reliable structured output generation (e.g., JSON).</li>
<li dir="ltr">Design and execute experiments to evaluate and continuously improve model performance.</li>
<li dir="ltr">Manage datasets for training and evaluation, ensuring quality and relevance.</li>
<li dir="ltr">Collaborate with engineers to integrate models and stay updated on relevant AI advancements. </li>
</ul><h4 dir="ltr">What We Think You’ll Need to Succeed</h4><ul>
<li dir="ltr">Master's in a relevant quantitative field (CS, AI, Data Science).</li>
<li dir="ltr">Proven experience fine-tuning LLMs and strong understanding of ML/DL/NLP principles.</li>
<li dir="ltr">Hands-on experience with structured output generation and validation from LLMs.</li>
<li dir="ltr">Proficiency in Python and common ML/DL frameworks (PyTorch, LangGraph, CrewAI, Hugging Face etc).</li>
<li dir="ltr">Experience with ontologies, taxonomies, RAG, LORA fine tuning and prompt engineering techniques.</li>
<li dir="ltr">Strong analytical, problem-solving, and collaboration skills. </li>
</ul><h4 dir="ltr">Bonus XP (Nice-to-Haves)</h4><ul>
<li dir="ltr">A love for gaming — this is not only about data science.</li>
<li dir="ltr">Experience with gaming data, game metadata, or working in the gaming industry.</li>
<li dir="ltr">Experience with hierarchical classification problems.</li>
<li dir="ltr">Knowledge of MLOps, agentic AI systems, or microservice architectures.</li>
<li dir="ltr">Familiarity with LLM platforms (e.g., Fireworks.ai, OpenAI, etc.) </li>
</ul><h4 dir="ltr">We think you’ll thrive with us if you are:</h4>Someone who’s passionate about building AI that actually understands — not just predicts. You love the challenge of applying AI to real-world, domain-specific problems, and gaming is a domain you either love already or are eager to explore. Your curiosity pushes you to constantly iterate, experiment, and improve, always striving to make your models smarter and more reliable.You take pride in working autonomously, designing creative solutions without waiting for someone to tell you exactly how. At the same time, you understand that great AI is built by teams who share knowledge and complement each other's strengths. You enjoy collaborating with engineers, designers, and fellow data scientists to achieve meaningful results. Above all, you value honesty, precision, and creating technology that enhances the experiences of gamers around the world. <h4 dir="ltr">What You’ll Get From Us</h4><ul>
<li dir="ltr">A passionate team that’s shaping the future of gaming! Plus, you’ll finally get to say, “I work in the gaming industry!” – how cool is that?</li>
<li dir="ltr">Managers and teams who genuinely care about you – not just as an employee, but as a person. We value who you are, your well-being and your personal growth.</li>
<li dir="ltr">An attractive compensation package, which includes comprehensive health insurance, paid parental leave, a solid pension plan and an Employee Stock Ownership Plan (ESOP), so you can share in our growth and success.</li>
<li dir="ltr">A collaborative, inclusive environment where diverse perspectives are truly valued and every team member is empowered to contribute, innovate and grow. With open communication, involvement in decision-making, cross-functional teamwork and access to both personal and professional development resources, you’ll have the support to thrive.</li>
<li dir="ltr">An international environment, connecting with colleagues and customers worldwide, including Norway, India and the US. </li>
<li dir="ltr">Hybrid work is cool with us! Just pop by the office occasionally so we remember what you look like. And when you do, you’ll find us conveniently located next to Lillestrøm train station – just a quick 10-minute ride from Oslo S!</li>
<li dir="ltr">Work-Life Balance – We get it, life happens! Whether it's errands, appointments, mental offloading or family time, you get the flexibility to shape your schedule.</li>
<li dir="ltr">A work culture built on our core values: We go above and beyond (“Extra-Ordinary”), we put people first (“Human-Centric”), we stay dedicated (“Committed”), we communicate openly (“Clear &amp; Transparent”) and we always do the right thing (“Integrity”)</li>
</ul><h4 dir="ltr">Ready to Level Up Your Data Science Career?</h4>If you’re looking for the opportunity to apply your AI and data science skills to shape the future of gaming, we’d love to hear from you. We know everyone has their own way of showcasing their talents — so whether it’s an application, CV, portfolio, GitHub profile, video, or something entirely different, send us whatever best tells your story. What matters most is making a connection. Just curious? Reach out to Sarah for more information about the role, the team, or Gameopedia itself.We are committed to building a diverse and inclusive workplace because we know that the best gaming experiences — and AI models — are built by diverse minds. We welcome individuals from all backgrounds and walks of life to apply. Join us in creating extraordinary experiences for players and the gaming industry worldwide. 
 </div>

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Some of our data sources are small (e.g., sales at Netflix House), and some are enormous (e.g., social media feeds). Our stack is Spark, Flink, Iceberg, Kafka - experience with these specific technologies is helpful but not strictly required.</li><li>You are proficient in Python and/or Scala for scripting, automation, and data orchestration frameworks, and you can write complex SQL (any variant) for ad-hoc and recurring workflows. You strive to write elegant and maintainable code, and you're comfortable picking up new technologies.</li><li>You understand how to model data efficiently for reporting and metrics, and how to organize data for scale and fast retrieval.</li><li>You have experience sourcing and modelling data from application APIs and event streams.</li><li>You have experience converting business requirements into data engineering workstreams, enabling insights that empower our colleagues to make better and more informed decisions.&nbsp;</li><li>You have experience mentoring and guiding/unblocking other team members, navigating ambiguity and creating clarity</li></ul><h2>What will you do?</h2><ul><li>Fully own critical pipelines and data sets to support variety of use cases in data science and engineering.&nbsp;&nbsp;</li><li>Directly collaborate with stakeholders to understand needs, model tables using data warehouse best practices, and develop data pipelines to ensure the timely delivery of high-quality data.</li><li>Creatively explore how to use data to continually add value to Netflix. Translate ambiguous business questions into clear data requirements, and then deliver on them.</li><li>Be a bridge between data engineering and the business, enabling insights that empower our colleagues to make better and more informed decisions.&nbsp;</li><li>Build strong partnerships with data scientists, analytics engineers, and machine Learning practitioners to enable research and insight delivery for the business.&nbsp;</li></ul><h2>Who are you?&nbsp;</h2><ul><li>You work quickly and independently while also collaborating effectively across functions (e.g. with marketing experts, data scientists, product managers).&nbsp;</li><li>You thrive in a fast-paced environment and see yourself as a partner in the business, with the shared goal of moving it forward.</li><li>You have a growth mindset and expect the same from your colleagues. You are also curious,&nbsp; authentic, selfless, determined, and industrious. You generously give and receive candid feedback to grow yourself and those around you.&nbsp;</li><li>You have strong beliefs that are weakly held: you can deliberate and hear all sides of a discussion, and adapt to new perspectives that emerge from it.&nbsp;</li><li>You are a sharp communicator who can break down and explain complex data problems in clear and concise language.</li></ul><a target="_blank" href="https://about.netflix.com/en/inclusion">Inclusion</a> is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.

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