Applied Scientist, WholeSum

• You have a strong background in statistical inference, ML, NLP, and experimental design
• You’re excellent at pushing methodological boundaries and turning insights into well-designed Python pipelines
• You want to move beyond off-the-shelf LLM and RAG tools, developing innovations that are both original and widely used
• You’re excited by the challenge of making messy human data trustworthy and actionable
• You care about generating analysis that is accurate, transparent, and impactful

Desirable

• Invent and validate new methods for turning human language into trustworthy insight
• Explore the frontier between statistical inference and large language models – designing experiments, prototyping algorithms, and collaborating with engineers to bring your best ideas into production quickly
• Collaborate with enterprise clients to ensure our analysis is rigorous, scalable, and genuinely valuable

• 1. Short application form
• 2. Intro call
• 3. Analysis task
• 4. Deep dive with the founders
• 5. Reference checks