Senior Data Scientist

Role overview Help build an AI agent suite that automates how independent service professionals run their businesses. The first product in the suite is a live voice and SMS agent that contacts homeowners on a professional's behalf, qualifies the work, and books the appointment, with more agents planned. This is a senior data science role on a product whose core behavior is conversational and probabilistic, with impact measured directly in revenue for the professionals using it.

Responsibilities - Improve how agents converse, qualify, and book jobs through conversation design, prompting, and campaign logic - Build evaluation systems that make agent quality measurable, including automated checks over conversation traces, simulated conversations scored against expected outcomes, and model-based evaluation where human judgment is needed - Establish experimentation frameworks and design practices that decide what gets shipped - Read and analyze real conversations to identify failure modes, measure their rates, and prioritize improvements - Develop predictive models for qualification quality, appointment quality, homeowner engagement, and channel and timing selection, and take them into production with appropriate monitoring and testing - Collaborate closely with engineers, product managers, designers, and operations partners to integrate data-driven solutions end to end - Mentor junior team members and foster a culture of continuous learning and innovation

Requirements - Master's or PhD in a quantitative field such as computer science, statistics, or mathematics, or equivalent practical experience - 4+ years of data science and machine learning experience, ideally in tech or marketplace environments - Hands-on work with non-deterministic systems such as LLM applications, conversational agents, or ranking and recommendation systems, including ways to measure their quality - Strong statistical thinking and experiment design skills, including power and sample size, sequential and non-inferiority designs, and correlated data - Willingness to dig into raw customer interactions and categorize large volumes of conversations - Track record of taking impactful work into production and keeping it healthy there - Proficiency in SQL and Python, plus experience with cloud-based ML solutions - Ability to communicate complex technical concepts to non-technical stakeholders

Nice to have - Production experience with LLM applications, including prompting, agent design, or evaluation tooling - Experience with voice or telephony systems such as streaming speech recognition, turn taking, or call quality measurement - Experience with workflow orchestration for long-running processes - Background in home services, field service, or another operations-heavy marketplace

Benefits and work setup The salary band is $185,000 to $240,000, commensurate with experience and performance, with variation by location. The package includes a competitive year-end performance bonus and equity, full medical, dental, and vision coverage, a flexible vacation policy, pet discount plans, and a 401(k) with company match.