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Senior Product Scientist (Care Intelligence)

CompraTica Empleos

EMP:Marketing
USA
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Descripción

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the Senior Product Scientist roleat Headspace: We are seeking a Senior Product Scientist to own the measurement systems and data infrastructure that power Headspace's ability to deliver effective, efficient care at scale

This role sits at the intersection of product strategy, data science, and care operations, with a mandate to bring scientific rigor to two of our most consequential problem areas: how we forecast coaching demand and how we demonstrate the value Headspace delivers to members, employers, and health plans.

As a Senior Product Scientist, you will partner closely with Data Science, Care Operations, and Clinical leadership to redesign a forecasting system that directly drives staffing, capacity, and cost decisions across our coaching network, while simultaneously building the evidence framework that allows Headspace to tell a credible, compelling ROI story to every audience we serve.

At Headspace, product leaders are expected to model experimentation with purpose, share feedback with care, and bring a deep commitment to the member journey.

This role requires both analytical depth and strategic clarity to translate complex modeling and measurement challenges into product decisions that meaningfully improve care delivery for our members.

What you will do: As a Senior Product Scientist, you will be responsible for a variety of tasks crucial to the success of the Headspace Product and Care teams.

Your day-to-day.

Responsabilidades

will include: Craft and deliver against the product roadmap for care demand forecasting, collaborating with Data Science and Care Operations to continuously improve models that translate expected member volume into accurate staffing, capacity, and cost decisions across our care network

Author and maintain comprehensive Product.

Requisitos

Documents (PRDs) that translate complex forecasting and measurement requirements into actionable technical specifications, including model architecture decisions, validation frameworks, a...

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