Abrar Admin

ZAP Surgical Systems, Inc.

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 About the role
 
 
 
 No scalpel. No blood. No hospital bunker. The ZAP-X treats tumors and other conditions deep in the brain with a self-shielding gyroscopic robot that steers radiation around the head to sub-millimeter precision &mdash; built to put world-class radiosurgery within reach of patients everywhere, not just a handful of elite centers. You&rsquo;ll join our Product team as a hands-on data scientist, working closely with the Director of Product Management to turn data from our global fleet &mdash; treatment plans, delivery and imaging data, system telemetry, and quality records &mdash; into models, analyses, and insights that shape what we build. It&rsquo;s a build-heavy role with room to grow: real modeling problems, direct mentorship, and a front-row seat to how AI is reshaping radiosurgery. You&rsquo;ll work across software, clinical, quality, and service teams.
 
 
 
 
 
 
 What you&rsquo;ll do
 
 
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 Shape the future of AI-assisted treatment planning and delivery.
 
 Working closely with the Director of Product Management, you&rsquo;ll evaluate how AI capabilities &mdash; built in-house or brought in through partners &mdash; perform on real cases, building the baselines and benchmarks behind the call and helping define what &ldquo;good enough&rdquo; looks like. Engineering builds and runs the production systems; you do the hands-on analysis and modeling behind the direction.
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 Tell the story in our data.
 
 Use statistical and causal modeling to turn treatment, outcomes, and fleet data into insights that inform leadership&rsquo;s decisions &mdash; how a new feature changes treatment efficiency or patient outcomes across sites, and how the product is actually used, to help sharpen what we build next.
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 Catch problems early.
 
 Build predictive and anomaly-detection models, and the early-warning signals on top of them, that surface reliability and quality issues &mdash; and support the quality team&rsquo;s complaint trending and post-market surveillance &mdash; before they escalate into complaints or downtime.
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 Make data self-serve.
 
 Build dashboards and AI-assisted tooling so quality, operations, and service teams can investigate issues and answer routine questions for themselves.
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 Your first 12 months
 
 
 
 By the end of your first year, you&rsquo;ll have:
 
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 Ramped fast &mdash; leaning on AI tools to get up to speed on ZAP&rsquo;s data and domain in weeks, not months &mdash; and shipped your first models into use.
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 Put predictive and anomaly-detection models to work flagging reliability and quality issues early for the service and quality teams.
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 Delivered analyses across product, clinical, and fleet questions that leadership acted on.
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 Helped evaluate at least one AI planning or delivery capability, building the baselines and benchmarks behind the recommendation.
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 Built AI-assisted self-serve tooling that lets other teams query the data directly, not just read static dashboards.
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 Become a go-to person for a meaningful slice of ZAP&rsquo;s data, on a clear path to broader scope.
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 What we&rsquo;re looking for (the essentials)
 
 
 
 Typically, around 3 years of data science experience.
 
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 A Bachelor&rsquo;s or Master&rsquo;s in a quantitative field &mdash; computer science, statistics, engineering, physics, or similar &mdash; or equivalent hands-on experience.
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 Proficient in Python, with a solid grounding in statistics and core ML methods.
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 Hands-on experience building models or analyses end to end &mdash; from messy data to a result someone actually used.
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 Clear communication &mdash; you can explain a finding to a non-technical audience.
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 Eager to learn the domain and grow into bigger problems.
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 You don&rsquo;t need to tick every box below. If you&rsquo;re strong on the essentials and excited by the mission, we&rsquo;d like to hear from you.
 
 
 
 
 
 
 
 Nice to have
 
 
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 Healthcare, medical-device, or other regulated-industry experience.
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 Experience with time-series, anomaly detection, or causal inference.
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 Familiarity with imaging or computer-vision ML.
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 Comfortable querying data with SQL.
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 Exposure to dashboarding or analytics tooling.
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 This role could suit someone from a data science, ML, or analytics background who wants to build and grow &mdash; we care more about how you think with data than your exact title today.
 
</div>

Product Data Scientist

Join ZAP Surgical Systems, Inc. and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

ZAP Surgical Systems, Inc.

About Company

Product Data Scientist