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3 дня назад

Senior Data Scientist, Fraud (Healthcare)

163 944 - 215 176$
Формат работы
hybrid
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, Fraud (Healthcare): Building data pipelines, machine learning models, and analytical tools to detect fraud and reduce avoidable medical costs with an accent on healthcare claims, investigative leads, and stakeholder-driven data science solutions. Focus on designing end-to-end fraud models, validating and improving production outputs, and contributing to technical direction while mentoring junior data scientists.

Location: New York City office with a hybrid schedule requiring 3 days of in-office work per week; Thursdays are required in-office days, with the other two office days flexible.

Base pay: $163,944–$215,176 per year, plus benefits, equity grants, annual performance bonuses, and unlimited vacation.

Company

hirify.global is a health insurance company built around a full-stack technology platform and focused on serving its members.

What you will do

  • Design, build, and maintain data pipelines, machine learning models, and analytical tools for fraud detection and prevention.
  • Partner with the Special Investigations Unit and Medical Economics team to translate business needs into data science solutions and investigative leads.
  • Own projects end-to-end, from problem definition and technical design through implementation, validation, launch, and ongoing improvement.
  • Manage stakeholder relationships and collaborate with data and business counterparts across functional areas.
  • Contribute to the fraud data science roadmap and longer-term technical direction.
  • Mentor junior data scientists and provide technical guidance.

Requirements

  • 4+ years of experience in data science or another quantitative technical field, including academia.
  • 3+ years of experience using SQL and Python to query, manipulate, and analyze data.
  • 3+ years of experience building data models and using advanced analytics methods, statistical modeling, and/or data processing.
  • Experience applying supervised or unsupervised machine learning techniques, including predictive modeling, anomaly detection, clustering, or graph/network analysis, to identify potential fraud in healthcare, insurance, financial services, or other industries.
  • Compliance with all applicable laws and regulations.

Nice to have

  • Experience analyzing healthcare claims, provider billing patterns, or medical and pharmacy utilization data.

Culture & Benefits

  • Full-time employment with medical, dental, and vision benefits.
  • Unlimited vacation, 11 paid holidays, paid sick time, paid parental leave, and paid wellness time and reimbursements.
  • 401(k) participation, life and disability insurance, equity grants, and annual performance bonuses.
  • Equal opportunity environment focused on belonging and support for authentic self-expression.
  • Hybrid work includes a required Thursday office day for team meetings and events.

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