Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$164к-215к/год
$160к$190кмедиана$210к
По похожим ролям (50) ~ $190к/год
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Чёткая ответственность за проекты от постановки до запуска и понятный продуктовый фокус делают роль привлекательной для senior-специалиста, но обязательная работа из офиса в Нью-Йорке ограничивает выбор места.
Офис обязателен
Актуальный стек
Медицинский продукт
Ответственность за результат
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist, Lucie (Healthcare): Building and measuring healthcare shopping products through data pipelines, statistical and machine learning models, and advanced analyses with an accent on combining legacy data and systems with modern production infrastructure. Focus on scoping ambiguous problems, designing technical approaches, validating model outputs, and owning data science projects end-to-end.
Location: New York City office with a hybrid schedule requiring 3 days of in-office work per week; Thursdays are required in-office days.
Salary: $163,944–$215,176 per year base pay, 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 healthcare experience for its members.
What you will do
Help strategize, build, launch, and measure Lucie, an all-in-one storefront for shopping for healthcare.
Work with legacy data and systems while building modern data infrastructure and production models.
Partner with product, engineering, operations, business, and data stakeholders to scope problems and opportunities.
Own projects end-to-end, including technical design, implementation, validation against existing processes, and post-launch iteration.
Research, develop, and maintain data pipelines, statistical and machine learning models, and advanced analyses.
Contribute to longer-term team strategy and independently execute the short-term roadmap.
Requirements
4+ years of experience in industry or another quantitative technical field, including academia.
3+ years of experience using SQL, R, and/or Python to query, manipulate, and analyze data.
3+ years of experience building data models and applying advanced analytics methods, statistical modeling, and/or data processing.
Ability to collaborate across functional areas and transform ambiguous problems into well-engineered, validated, and maintainable production systems.
Nice to have
Advanced degree in a quantitative or technical field.
Experience in healthcare, finance, and/or insurance.
Culture & Benefits
Hybrid work schedule with two flexible office days in addition to the required Thursday office day.
Employee benefits including medical, dental, and vision coverage.
Unlimited vacation program, 11 paid holidays, paid sick time, paid parental leave, and paid wellness time.
401(k) participation, life and disability insurance, wellness reimbursements, equity grants, and annual performance bonuses.
Equal opportunity environment focused on belonging, authenticity, and support.
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