LMArena

Senior Data Scientist

Technical Recruiter

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As a Senior Data Scientist at LMArena, you will explore and analyze large, complex datasets from millions of AI evaluations to uncover patterns, biases, and causal relationships in model behavior. You will formulate hypotheses, design experiments, and build statistical frameworks using Python, Pandas, NumPy, and Spark. Collaborating with ML researchers and engineers, you will improve the reliability and interpretability of AI evaluation systems, contributing to the advancement of AI.

Enterprise Engineer

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About LMArena</h3><p class="my-4 text-gray-700 leading-relaxed">LMArena is the open platform for evaluating how AI models perform in the real world. Created by researchers from UC Berkeley’s SkyLab, our mission is to measure and advance the frontier of AI.</p><p class="my-4 text-gray-700 leading-relaxed">Millions of people use LMArena each month to explore how frontier systems perform — and we use our community’s feedback to build transparent, rigorous, and human-centered model evaluations. Leading enterprises and AI labs rely on our evaluations to understand real-world reliability, alignment, and impact. Our leaderboards are the gold standard for AI performance — trusted by leaders across the AI community and shaping the global conversation on model reliability and progress.</p><p class="my-4 text-gray-700 leading-relaxed">We’re a team of researchers, engineers, academics, and builders from places like UC Berkeley, Google, Stanford, DeepMind, and Discord. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We’re building a company where thoughtful, curious people from all backgrounds can do their best work. Everyone on our team is a deep expert in their field — our office radiates excellence, energy, and focus.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About the Role</h3><p class="my-4 text-gray-700 leading-relaxed">As a Senior Data Scientist you’ll explore and reason about the data that powers millions of AI evaluations each week. You’ll generate and test hypotheses, identify causal relationships, and uncover insights that help us understand how frontier models behave in the real world.</p><p class="my-4 text-gray-700 leading-relaxed">You’ll collaborate with ML researchers and engineers to design experiments, analyze large-scale datasets, and build statistical frameworks that improve the reliability and interpretability of our AI evaluation systems.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">You’ll</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Explore and analyze large, complex datasets to uncover patterns, biases, and causal relationships in model behavior and system performance.</li><li class="leading-relaxed">Formulate hypotheses about data quality, evaluation outcomes, and model performance — then design experiments to validate or refute them.</li><li class="leading-relaxed">Build reproducible analysis pipelines using Python, Pandas, NumPy, and Spark to process and interrogate large-scale data.</li><li class="leading-relaxed">Partner with ML researchers and engineers to design metrics and analyses that evaluate how models perform across domains, prompts, and tasks.</li><li class="leading-relaxed">Develop causal reasoning frameworks and statistical methods that help explain why models behave as they do — not just how well they perform.</li><li class="leading-relaxed">Communicate insights clearly to technical and non-technical partners, informing both research direction and infrastructure improvements.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">You’ll have</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">6+ years of experience in data science, ML analytics, or applied research, preferably in AI, ML, or large-scale data environments.</li><li class="leading-relaxed">Strong proficiency in Python, with deep experience in Pandas, NumPy, and distributed frameworks like Spark.</li><li class="leading-relaxed">Expertise in statistical modeling, causal inference, and experimental design.</li><li class="leading-relaxed">Experience reasoning about data distributions, sample quality, and the effects of data distribution shifts.</li><li class="leading-relaxed">Strong communication skills and the ability to collaborate closely with ML researchers and engineers.</li><li class="leading-relaxed">(Bonus) Background in AI model evaluation.</li><li class="leading-relaxed">(Bonus) Experience working with LLM outputs, embeddings, or other large-scale model artifacts.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What we offer</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">The cash compensation for this position has not yet been finalized. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location.</li><li class="leading-relaxed">Competitive salary and meaningful equity</li><li class="leading-relaxed">Comprehensive healthcare coverage (medical, dental, vision)</li><li class="leading-relaxed">The opportunity to work on cutting-edge AI with a small, mission-driven team</li><li class="leading-relaxed">A culture that values transparency, trust, and community impact</li></ul><p class="my-4 text-gray-700 leading-relaxed">Come help build the space where anyone can explore and help shape the future of AI.</p>

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<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About the Role</h2><p class="my-4 text-gray-700 leading-relaxed">This role is part of the Books Editorial Projects Management (BePM) that provides operational project management support to manage our titles and books portfolio through the publication process. We’re looking to recruit an energetic and highly organized graduate as an Editorial Assistant to support our Research Publishing editorial teams in Humanities and Social Sciences (HSS).</p><p class="my-4 text-gray-700 leading-relaxed">The Editorial Assistant provides a vital role in supporting the Editorial team by ensuring that our authors receive a high quality of service, that our books are published to the highest standards, driving our authors satisfaction and reputation as a market and thought leader while we operate on highly efficient workflows.</p><p class="my-4 text-gray-700 leading-relaxed">As well as providing core support to the Editorial teams, the role involves building excellent working relationships with internal teams such as production, and day-to-day administration.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Responsibilities</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Database and systems management</li><li class="leading-relaxed">Handle one or more series independently</li><li class="leading-relaxed">Handle a wide range of editorial tasks including contracting, peer review process, manuscript development and handover to production, and post-publication tasks</li><li class="leading-relaxed">Liaise with authors/editors to manage the content development from signing to publication</li><li class="leading-relaxed">Advice authors/editors on procedures, house style, and manuscript preparation</li><li class="leading-relaxed">Liaise with production and vendors in ensuring that the titles are published as per agreed deadlines</li><li class="leading-relaxed">Liaise with colleagues in different Centers of Excellence, Open Access, Editorial Rights, Author Services on a routine basis</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Experience, skills and qualifications</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience from a professional activity in editorial/publishing or university degree, preferably in a relevant field of study</li><li class="leading-relaxed">Have excellent team-working skills to deal with people within the company and externally at all levels</li><li class="leading-relaxed">Be a diplomatic and assertive individual who is able to work with demanding stakeholders</li><li class="leading-relaxed">Be able to organize and prioritize numerous tasks and be able to work on their own initiative</li><li class="leading-relaxed">Be resourceful and proactive in dealing with problems and queries</li><li class="leading-relaxed">Be able to demonstrate good publishing business awareness and the ability to learn quickly</li><li class="leading-relaxed">Have excellent verbal and written communication skills and be numerate and IT systems-literate (MS Word, Excel, PowerPoint), with a sharp eye for detail</li><li class="leading-relaxed">Preferably have experience working in academic publishing in an entry-level editorial role</li><li class="leading-relaxed">Fluency in English, both verbal and written</li></ul><p class="my-4 text-gray-700 leading-relaxed">At Springer Nature, we value the diversity of our teams and work to build an inclusive culture, where people are treated fairly and can bring their differences to work and thrive. We empower our colleagues and value their diverse perspectives as we strive to attract, nurture and develop the very best talent.</p><p class="my-4 text-gray-700 leading-relaxed">Springer Nature was awarded Diversity Team of the Year at the 2022 British Diversity Awards. Find out more about our DEI work here [https://group.springernature.com/gp/group/taking-responsibility/diversity-equity-inclusion#NOTE/_blank]</p><p class="my-4 text-gray-700 leading-relaxed">If you have any access needs related to disability, neurodivergence or a chronic condition, please contact us so we can make all necessary accommodations.</p><p class="my-4 text-gray-700 leading-relaxed">For more information about career opportunities in Springer Nature please visit [https://springernature.wd3.myworkdayjobs.com/SpringerNatureCareers]</p><p class="my-4 text-gray-700 leading-relaxed">#LI-RT1</p>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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