[Remote] Data Science Lead at Atomic

The Data Science Lead will spearhead the design, experimentation, and optimization of an LLM-driven platform, owning the modeling strategy and experimentation culture. Responsibilities include defining and scaling the approach to data, experimentation, and model-driven development, leading the development of performance evaluation frameworks, informing data pipelines, and driving insights from AI trace behavior and customer usage patterns. They will own experimentation strategy for LLM-powered agents, build and refine frameworks for analyzing AI trace behavior, define key performance indicators (KPIs), collaborate with engineers and product leaders on data collection and utilization, make principled decisions around data context and grounding, partner with domain experts and UX teams, build dashboards and reporting tools, stay abreast of emerging LLM trends, and drive a culture of fast, rigorous experimentation.