Applied Scientist

As an Applied Scientist at Golden Analytics, you’ll build out advanced approaches for AI-assisted data analysis. You know the rapidly-changing AI tech and techniques extremely well, have a history of experimentation to refine and validate AI approaches with data, and a strong desire to see these techniques employed in a real application. You will push the AI techniques on a rapidly-moving BI platform to the next level, and provide the solid intellectual and scientific reasoning behind the techniques we choose. You’ll build new models to be the brain of a platform centered around working for data. What We're Looking For You don't just use AI tools, you geek out over them. You’re all over coding agents and modern dev environments. You strive to learn, and encode that learning in ways today’s development systems can use. You have shipped AI-enabled solutions and have guided coding agents to help you move faster. You know the limits of this tech, but push it to help you do more. Customer Obsessed There's no barrier between you and our users. You have strong product sense and think like a founder. You understand that the best code is the code that delivers the most customer value, but that you can reliably maintain. You're comfortable jumping on customer calls, gathering feedback, and translating that directly into what you build. Velocity Driven You move fast. You learn fast. You ship fast. You understand that velocity is a feature. You're comfortable with iteration, learning from failures, and pivoting quickly. Perfect is the enemy of shipped. You write scalable code that you can stand behind, but you know when to optimize for delivery speed versus perfection. You love what you do. There's fire in your belly for building something meaningful. You want to stand with pride next to what you build every day. You want to be on a mission and be part of something that transforms how people work with data. What You'll Build Data collection and experimentation systems for AI models Models to power an “AI analyst” and capture best practices for working with data Natural language interfaces for analytics Requirements Strong experience in AI experimentation and development, specifically around data collection and validation of the effectiveness of models Strong experience in application of tuning and experimentation to LLM models as well as more traditional ML methods Experience building new models and fine-tuning existing models for new domains. Exposure to full stack, cloud-based development environments - Vite, Node, TypeScript, React, Postgres, Vercel, Supabase (and more as we grow) Experience building with AI/ML technologies (LLMs, vector databases, coding agents, etc.) Product thinking and customer orientation Comfort with ambiguity and rapid iteration Why Join Us Ground floor opportunity at a well-funded startup (backed by top-tier VCs) Work directly with founders and customers Shape product decisions and company culture Competitive salary and equity Embrace new technologies to help be amazing for our customers Oh and not to mention doing the best work of your life And actually having fun at your job again Golden Analytics is an AI-native BI platform built for data teams who are tired of the tradeoffs in today’s tools -- the depth of self-service analytics tools without the rigidity, the accessibility of a modern design tool, and AI that actually augments how analysts work rather than getting in the way. #J-18808-Ljbffr