Назад
Company hidden
2 дня назад

Senior Data Analyst (Healthcare Claims)

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
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Data Analyst (Healthcare Claims): Developing analytical solutions to identify aberrant provider billing and utilization patterns in Medicare and Medicaid claims data with an accent on SQL, Python, statistical modeling, and machine learning. Focus on anomaly detection, tracing complex data transformations, testing analytical models, and presenting findings to clients and project stakeholders.

Location: Remote

Company

hirify.global is a data and AI engineering firm serving public-sector and highly regulated-industry customers, including U.S. government organizations in health, civilian, and national security missions.

What you will do

  • Gather data requirements, resolve data challenges, and collaborate with client and project teams.
  • Develop data models to identify vulnerabilities, anomalous activity, and risks in Medicare and Medicaid programs.
  • Analyze provider billing and utilization patterns in large healthcare claims datasets.
  • Advise on statistical modeling, hirify.globall techniques, emerging tools, and proven approaches.
  • Document hirify.globall methods and findings through white papers and other technical materials.
  • Test and quality-assure hirify.globall solutions, monitor Medicare and Medicaid billing compliance, and present findings to customers and stakeholders.

Requirements

  • Bachelor’s or Master’s degree in Data Analytics, Statistics, Health Policy, Public Health, or a related field; a Master’s degree is preferred.
  • Experience working with Medicare and/or Medicaid data.
  • Strong SQL skills with large claims datasets, including tracing joins and filters and explaining changes in record counts.
  • Proficiency in Python and strong knowledge of statistical programming concepts and best practices.
  • Experience developing machine learning models, including anomaly detection techniques such as Isolation Forest.
  • Experience with Databricks, Snowflake, or another notebook-based development environment.
  • Strong communication skills, including presenting technical concepts and hirify.globall findings to clients and project teams.

Nice to have

  • Program integrity experience.
  • Experience with MLflow and MLOps practices.
  • Experience with Esri or other geospatial mapping and analytics tools.
  • Experience with Tableau and data visualization techniques.
  • Ability to read and interpret SAS code.

Culture & Benefits

  • Remote full-time position supporting public-sector and highly regulated-industry missions.
  • Competitive compensation with opportunities for bonuses.
  • Employer-paid healthcare and a 401k match.
  • Training and development funds.
  • Equal opportunity employment and reasonable accommodations for applicants and employees with disabilities.

Будьте осторожны

Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →