Founding Senior Data Scientist/ML at Rho

Help define and evolve Rho's ML/DS practices: how models get evaluated, deployed, monitored
Design and implement evaluation frameworks and eval harnesses that give the company real confidence
Build and own high-impact models and analyses powering products like transaction coding
Make and document key ML infrastructure decisions (model registries, feature stores, serving
Set technical standards and best practices that help the ML/DS practice scale as the team grows
Translate ambiguous business problems into well-scoped modeling questions

6+ years of experience in data science, applied ML, or a related quantitative field, with a track
Deep, hands-on understanding of ML infrastructure: model registries, feature stores, serving
Strong experience designing evaluation frameworks and evals for ML systems, including offline
Comfortable operating as a hybrid DS/infrastructure practitioner, someone who doesn't hand a model
Experience helping establish or mature ML practices, standards, or infrastructure within a team and
Strong programming skills in Python, with solid SQL

Rho is Hiring