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5 дней назад

Senior Data Scientist

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist (Product and Operational Analytics): Owning product and operational analytics for a healthcare platform with an accent on retention, cohort behavior, funnel performance, and patient engagement. Focus on defining core metrics, investigating anomalies to root cause, and translating ambiguous data questions into clear recommendations for Product, Engineering, Operations, and leadership.

Location: NYC HQ preferred; remote work is possible for exceptional candidates.

Company

hirify.global partners with musculoskeletal provider groups and specialty clinics to improve clinic operations, patient acquisition, clinical workflows, and longitudinal patient engagement through its healthcare platform.

What you will do

  • Own product and operational analytics across retention, cohort behavior, funnel performance, and engagement.
  • Define and maintain the core metrics used across the company.
  • Partner with Product and Engineering to instrument features and measure outcomes.
  • Build analyses that answer open-ended operational questions and investigate data anomalies to root cause.
  • Translate findings into clear recommendations for technical and non-technical audiences, including leadership.
  • Maintain dashboards, analytical models, and data hygiene practices that make analysis repeatable.

Requirements

  • 3+ years of experience in data science or analytics, ideally in a product-driven environment.
  • BS or equivalent, with strong analytical and logical reasoning.
  • Depth in product or operational analytics, including retention, cohort, funnel, and engagement analysis.
  • Strong SQL and fluency in Python or R.
  • Ability to define analyses independently when questions are ambiguous.
  • Excellent communication and storytelling skills for non-technical audiences.

Nice to have

  • Experience in healthcare, digital health, or another regulated data environment.
  • Experience building analytics infrastructure from an early stage.

Culture & Benefits

  • Fast-moving startup environment with broad ownership and rapidly changing priorities.
  • Emphasis on persistence, accountability, learning, and professional growth.
  • Constructive feedback is valued and acted on quickly.
  • Video is required during weekly team syncs and technical discussions.

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