Data Scientist

The RoleWe're looking for Data Scientists who will help implement, evaluate, and improve LLM-based applications (agentic applications). You’ll join our team as one of our earliest hires. You will work directly with the founders (ex-Google, ex-Silver Lake) and own key technical decisions from day one.You’ll Work OnEvals and OptimizationYou develop innovative ways to evaluate the performance of agentic AI systems, track them over time, and perform prompt/context optimization and adapter tuning where necessary/appropriate to improve the performance of LLM-based applications.Applied Research 0→1 System DesignYou integrate cutting-edge models, proprietary data, and innovative architectures to transform business workflows into AI-native processes. They design, implement, and validate these systems through rigorous benchmarking and real-world deployment.Exploratory Research – Bold, Big BetsYou critically explore recent advancements drawing from the full breadth of related exploratory efforts to establish company-wide perspectives and opportunities for innovation. You act on these opportunities through bold experimentation, and drive the state of art forward.Data-driven investment decisionsYou understand the work of an investment analyst and can find ways to apply statistics, machine learning, and data science to streamline tasks like sourcing, screening, due diligence, and asset monitoring.Experience RequiredExperience Building with Models, not just Building ModelsWe develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).Uses AI Every DayBefore you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, Notebook LM, and Claude Code to accelerate your workflow.Strong Programming and Data Analysis SkillsYou need to have strong programming skills to be able to prove-out your ideas.Biases Towards Showing vs. TellingOur customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.We believe great Data Scientists come from diverse backgrounds and are unified by deep curiosity, pragmatism, and engineering excellence.You Have5–10 years experienceA deep understanding of how to design and evaluate LLM-based applicationsAbility to interpret statistical insights to non-technical or executive audiencesStrong programming skillsBonusExperience in financial systems, risk modeling, or decision automationFamiliarity with ML training and deploymentExperience with embedded analytics