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Роль описана четко и сочетает продуктовую аналитику, моделирование и эксперименты в быстрорастущей AI-компании в сфере здоровья; без зарплатного диапазона сложнее оценить условия.
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Зарплата не указанаЗдоровье и AIАктуальные технологииБыстрый ростВысокий темп
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Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Scientist (AI): Owns product analytics, experimentation, and production-ready predictive models for a digital metabolic health marketplace with an accent on patient understanding, causal inference, and business opportunity sizing. Focus on designing experiments, building churn and targeting models, and shaping product decisions through rigorous analysis.
Location: New York, NY. Hybrid work with the data team going into the office 2–3 days a week; candidates should be excited to join onsite.
Company
hirify.global is an AI-native digital health system providing dietitian-led metabolic healthcare through registered dietitians, physicians, medications, lab testing, and AI agents across all 50 US states.
What you will do
Own data and analytics for a business-critical product function, defining metrics and surfacing insights for the product roadmap.
Build, validate, and maintain production-ready predictive models for churn, resurrection, and targeting.
Design and analyze experiments and apply causal inference to measure the impact of features and feature adoption.
Deliver clear analyses, recommendations, and sized business opportunities from complex data.
Partner with Product, Engineering, Design, and Growth to shape priorities and roadmaps.
Contribute methodology, standards, and tooling to the company-wide experimentation platform.
Requirements
6+ years of relevant experience owning data science or product analytics for a product area.
Experience designing and analyzing experiments end-to-end and applying causal inference methods.
Strong SQL skills and proficiency in Python.
Ability to translate complex data into clear, actionable recommendations and communicate effectively across functions.
Interest in improving healthcare outcomes through food-as-medicine approaches.
Located in or able to work from the New York City office environment, with regular onsite collaboration expected.
Culture & Benefits
High-performance environment with a strong emphasis on talent density and difficult, ambiguous problems.
Candid feedback, resilience, low-ego collaboration, and outcome-oriented decision-making.
Opportunity to improve healthcare outcomes at scale through an AI-native product.
Access to company information about compensation philosophy and benefits.
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