ivai - Senior Data Scientist

• You’ll serve as the technical backbone for our growing data science team. You'll bring rigorous statistics and machine learning expertise and help us evolve from notebook-based exploratory work into centralized, production-grade data pipelines. This is a hands-on individual contributor role with both ownership of process and technical mentorship responsibility. • What you'll own (and how we measure it) • Technical quality and methodology • Bring statistical rigor and ML expertise to a team that's currently strong on exploration but light on formal methodology. Own the technical quality bar for models, metrics, and analyses across the team. • Help define what "good" looks like technically: code review standards, reproducibility practices, and a clear path from prototype to production. • Stay current on modern ML and agentic workflow techniques and help the team adopt them where relevant. • Contribute hands-on to real analyses and models. This is not a purely advisory seat; it's a working technical role. • Production infrastructure • Help migrate our work from ad hoc notebooks into centralized, version-controlled, reproducible workflows and shared artifact storage. • Design and implement production-grade data pipelines on GCP: scheduled and triggered jobs, not just one-off notebook runs. • Mentorship and team growth • Mentor data scientists across the team at varying experience levels, from junior to mid-level, raising the technical bar on statistics, ML, and production practices. • Partner with the DS team's manager (SVP of Product & Data) on technical direction while they focus on enterprise strategy and vision. • The reality of this role • Small, senior, distributed team: you help build the practice, you don't inherit one. • This is multi-project work that varies widely in scope and domain, so you'll move between problems rather than specializing narrowly.