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7 дней назад

Senior Data Scientist (Healthcare)

163 944 - 215 177$
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 (Healthcare): Building production data pipelines, statistical and ML models, and analytical systems for clinical risk adjustment quantification and submissions with an accent on healthcare data, automation, and model validation. Focus on re-engineering ambiguous manual workflows into robust production systems, validating outputs against existing processes, and shaping risk adjustment infrastructure.

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

Salary: $163,944–$215,176.50 per year, plus benefits, equity grants, and annual performance bonuses.

Company

hirify.global is a health insurance company built around a full-stack technology platform and focused on improving the member healthcare experience.

What you will do

  • Design, build, and maintain production data pipelines, statistical and ML models, and analytical systems for clinical risk adjustment.
  • Automate manual actuarial and risk adjustment processes into validated, feature-rich production systems.
  • Own projects end-to-end, from problem definition and technical design through implementation, validation, and post-launch iteration.
  • Collaborate with Actuarial, Risk Adjustment, data, and other business teams to translate workflows into technical solutions.
  • Contribute to the team's long-term technical strategy and roadmap.
  • Provide informal mentorship to junior data scientists.

Requirements

  • 4+ years of experience in industry 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, applying advanced analytics methods, statistical modeling, and/or data processing.
  • Experience designing, building, and maintaining production data pipelines or systems.
  • Experience with software engineering practices such as version control, code review, and testing.
  • Ability to work from the New York City office 3 days per week, including Thursdays.

Nice to have

  • Advanced degree in a quantitative or technical field.
  • Experience in healthcare, finance, or insurance.
  • Experience with risk adjustment, actuarial processes, or health insurance financial modeling.
  • Experience converting manual or spreadsheet-based analytical processes into automated production systems.
  • Experience with BigQuery, dbt, Dataflow, and cloud platforms.

Culture & Benefits

  • Unlimited vacation program.
  • Medical, dental, and vision benefits.
  • 11 paid holidays, paid sick time, paid parental leave, and paid wellness time.
  • 401(k) participation, life and disability insurance, and wellness reimbursements.
  • Employee equity grants and annual performance bonuses.
  • Equal opportunity workplace focused on belonging and support.

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