Are you looking to work in the cutting edge area of applying data-science to help global customers get a better insight into their health? Role Name: Senior Data Scientist
Science Team | Full-Time | In-Office | Bangalore (Kudlu Gate)
The Ultrahuman Science Team builds the algorithms behind the Ring, M1 CGM, blood and urine biomarkers, and Performance Lab assessments. We are hiring a Senior Data Scientist to own those algorithms end to end: from the raw sensor signal to a model that is shipped, monitored, and trusted in users' hands.
In a typical month you will improve a production algorithm, root-cause a metric users are complaining about, and stand up the data pipeline the next model needs. Ship models, not notebooks: you prove a change on our own cohort before it reaches users, and a model is done only when it runs in production and you can tell how it is behaving
Validate against reference standards: design evaluations against gold standards, reference devices, and study ground truth, and know when a result is real and when it is an artifact
Own the data layer: cohort extraction,



feature pipelines, study data, and raw sensor data, so the next model starts from clean inputs

Improving production algorithms - Take an existing production model like sleep staging, root-cause the failure modes against reference data, and ship a fix you can defend with numbers.
Building new models - Train an activity classifier on raw sensor data, design the labeled data collection that expands it, and pick the operating point so false positives never erode trust.
Proving it before it ships - Run a current steps algorithm against reference-device cohorts, decide with data when it is ready, and monitor how it behaves after rollout.

High ownership, end to end: you take a problem from a vague question to a shipped model without waiting to be handed scope, and you can point to something you owned from raw data all the way to production
You've worked with human health data: wearables, physiolo

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