Applied Scientist

About Golden Analytics

Golden Analytics is an AI-native BI platform designed for data teams seeking a balance between advanced analytics capabilities and user-friendly interfaces. The platform aims to eliminate the trade-offs found in current tools, offering deep self-service analytics, modern design, and AI that enhances rather than hinders analyst workflows.

The Role

As an Applied Scientist at Golden Analytics, you will develop advanced AI-assisted data analysis techniques. Your expertise in AI experimentation and model validation will drive innovation within our rapidly-evolving BI platform. You will push the boundaries of AI techniques, providing robust justification for the models we implement.

What We're Looking For

• AI Zealots: You are passionate about AI and its applications. You are adept at coding AI tools and continuously improving your skills through experimentation and deployment.
• Customer Obsessed: You prioritize user needs and have a strong sense of product. You are comfortable translating customer feedback into actionable changes and are committed to delivering high-quality, customer-focused solutions.
• Velocity Driven: You thrive in fast-paced environments and are skilled at iterating quickly. You embrace failure as a learning opportunity and are dedicated to delivering high-value products efficiently.
• Passionate Builders: You are driven by a desire to make a meaningful impact. You enjoy working on challenging projects and are excited about contributing to a company that transforms how people interact with data.

What You'll Build

• Data collection and experimentation systems for AI models
• Models to power an “AI analyst” interface, capturing best practices for data analysis
• Natural language interfaces for analytics

Requirements

• Strong experience in AI experimentation and development, particularly in data collection and model validation
• Experience tuning and experimenting with Large Language Models (LLMs) and traditional machine learning methods
• Experience building new models and refining existing ones for diverse data domains
• Exposure to full-stack, cloud-based development environments such as Vite, Node.js, TypeScript, React, Postgres, Vercel, and Supabase
• Experience working with AI/ML technologies including LLMs, vector databases, coding agents, and other emerging tools
• Strong product mindset and customer orientation
• Comfortable with ambiguity and rapid iteration