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3 часа назад

Senior Data Scientist, Operations (AI)

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

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TL;DR

Senior Data Scientist, Operations (AI): Building the analytical and modeling foundation for Member Experience (CX) and Contact Center operations with an accent on unifying data across systems and improving operational efficiency. Focus on developing predictive models for customer support demand forecasting and creating measurement frameworks for data-driven decision making.

Location: Must be based in the US or Canada

Company

hirify.global is an AI operating system for health designed to empower individuals through proactive, data-driven insights into human biology.

What you will do

  • Develop measurement frameworks, north star metrics, and data structures to facilitate company-wide decision-making.
  • Perform strategic and operational analyses to prioritize product and business initiatives, specifically uncovering insights from member support and health data.
  • Build heuristic, predictive, or ML models and data products, such as customer support demand forecasting.
  • Drive a data-driven culture through documentation, education, and training for self-service analytics.
  • Ensure data quality, security, and compliance across all analytical frameworks.

Requirements

  • Degree in Data Science, Biostatistics, Computer Science, or a related quantitative field.
  • 5+ years of experience in data science or analytics at consumer or Enterprise tech companies.
  • Proficiency in Python, SQL, and data visualization tools.
  • Ability to communicate complex findings to non-technical stakeholders.
  • Experience using generative AI tools to accelerate project development.
  • Must be based in the US or Canada

Nice to have

  • Experience with Operations domain (CX measurement, issue tracking, demand forecasting).
  • Proficiency with GCP (Google Cloud Platform) and Databricks.
  • Experience with customer support tools like Intercom or Zendesk.
  • Background in healthcare analytics, bioinformatics, or HIPAA compliance and privacy standards.
  • Advanced expertise in machine learning and statistical analysis.

Culture & Benefits

  • Competitive salary and benefits package.
  • Flexible working hours.
  • Collaborative, high-growth environment with a strong focus on mission-driven impact.
  • Culture of radical ownership, ruthless prioritization, and integrity in detail.

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