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8 часов назад

Senior Data Scientist (NLP)

92 901 - 95 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
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 (NLP): Building statistical, predictive, machine learning, and NLP models for healthcare analytics and payment integrity with an accent on population health, fraud detection, and care management performance. Focus on designing cross-client ML/AI solutions, modeling healthcare insurance and provider data, and improving savings and operational efficiency across pre- and post-payment cycles.

Location: Work from home anywhere in the United States; relocation to various U.S. client-site locations may be required, with relocation paid by the employer under internal policy.

Salary: $92,901.04–$95,000.00 per year

Company

hirify.global provides technology, transformation-driven BPM, and healthcare-domain services focused on improving member and patient experiences.

What you will do

  • Develop and interpret mathematical, statistical, predictive, machine learning, and NLP models for strategic decision-making.
  • Evaluate population health management programs using propensity matching and test/control group analysis.
  • Analyze fraud, waste, abuse, care management, medication adherence, and clinical visit data.
  • Build probabilistic models for Home Health and long-term care applications.
  • Develop predictive models to improve savings and operational efficiency across pre- and post-payment cycles.
  • Design cross-client ML/AI solutions to identify inappropriate provider behavior and stratify social risk.

Requirements

  • Bachelor’s degree or foreign equivalent in Engineering, Data Analytics, or a related field.
  • At least five years of experience in the position offered, as a Data Analyst, or in a related position.
  • Five years of experience with statistical and predictive modeling, machine learning, NLP, data mining, and statistical studies.
  • Five years of experience using Python, R, SQL, and SAS to extract and transform data from multiple sources.
  • Three years of experience with healthcare data modeling covering insurance and provider data.
  • Three years of experience with healthcare insurance, healthcare economics, care plans, billing, utilization management, risk adjustment, and long-term care.

Culture & Benefits

  • Work-from-home arrangement across the United States.
  • Full-time schedule of 40 hours per week, Monday through Friday.
  • Relocation to required U.S. client-site locations may be supported by the employer according to internal policy.
  • Equal employment opportunity employer.

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