Data Scientist

Forward Deployed Engineer (Customer-Facing Data Scientist)Location: San Francisco, CA (on-site, 5 days/week)Compensation: $140,000–$220,000 + meaningful equityAbout My ClientMy client is building the next generation of AI agents for the insurance industry — a trillion-dollar market ready for transformation. Backed by top investors including a16z, YC, Nexus, South Park Commons, and Converge, they’ve grown 10x in revenue over the past year and recently partnered with a top-5 global insurance company.The team combines deep AI expertise with proven startup and research experience, including alumni from Apple AI Research, Microsoft, Google, and Amazon. With over $30M raised and clear product-market fit, they’re now expanding their forward deployed engineering team to help customers realize the full potential of AI in production.Why Join🚀 Rocketship Growth: Post-PMF with rapidly scaling revenue and enterprise adoption.🧠 Elite Team: Founders and engineers from top AI and systems backgrounds (Apple AI/ML, YC, and others).🧩 Technical Depth: Collaborate with a staff research scientist and a high-caliber team solving cutting-edge AI and scalability challenges.🌍 Massive Market Impact: Transform how a foundational global industry operates.💡 Founder’s Mindset: High ownership and visibility — perfect for builders who want to own core product areas or eventually found their own startup.What You’ll DoBuild and deploy enterprise-grade AI agents from the ground up.Collaborate directly with the CTO (ex–Apple AI/ML) to productionize cutting-edge language and reasoning models.Partner with customer stakeholders to understand workflows and translate them into robust, agentic, data-driven systems.Rapidly prototype and iterate on end-to-end solutions — from data ingestion to model integration.Contribute to both product direction and core technical architecture as part of a small, fast-moving team.What We’re Looking For1+ years of software engineering or customer-facing technical experience.Strong proficiency in Python and building scalable backend systems.Excellent communication skills — able to interface with both technical and business teams.Demonstrated grit, curiosity, and ownership — thrives in ambiguity and fast execution.(Bonus) Experience with prompt engineering, applied ML, or LLM-based systems in production.Tech StackPython · Prompt Engineering · Modern ML Tooling