Applied Scientist: AI Analytics & Data Modeling

Golden Analytics, Inc.; Bellevue (WA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Ground floor opportunity with well‑fin

Direct collaboration with founders &客户

Competitive salary and equity

Job summary

Golden Analytics, Inc. seeks an Applied Scientist to lead AI experimentation and develop data-driven analytics capabilities on our BI platform. You will design and validate AI models, drive end-to-end experimentation, and push the boundaries of how analysts interact with data through natural language interfaces.

You’ll build scalable data collection systems, prototype new models, and collaborate closely with product teams to deliver customer-focused solutions at speed.

Qualifications

• 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.

Responsibilities

• 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.

Skills

AI experimentation

LLMs

Vector databases

Coding agents

Full stack development

TypeScript

React

Node.js

Postgres

Vercel

Supabase

Product thinking

Customer orientation

Ambiguity tolerance

Rapid iteration

Tools

Vite

Node

TypeScript

React

Postgres

Vercel

Supabase

Job description

Golden Analytics, Inc. seeks an Applied Scientist to lead AI experimentation and develop data-driven analytics capabilities on our BI platform. You will design and validate AI models, drive end-to-end experimentation, and push the boundaries of how analysts interact with data through natural language interfaces.

You’ll build scalable data collection systems, prototype new models, and collaborate closely with product teams to deliver customer-focused solutions at speed.