Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$167к-185к/год
$140к$180кмедиана$200к
По похожим ролям (49) ~ $180к/год
На СНГ рынке: $4.2к/мес ($2.8к - $4.4к)
45
Не очень вакансия
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Роль четко определена, и у компании есть значимая миссия, но зарплата значительно ниже рыночных стандартов, что вызывает опасения по поводу общей привлекательности.
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Низкая зарплатаЧеткое определение ролиСтартап-средаФокус на здравоохранении
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist (Healthcare): Building and maintaining healthcare data models, ingestion pipelines, and analytics capabilities with an accent on claims data transformation, data quality, and care enablement. Focus on designing scalable SQL and dbt models, developing actionable attributes for care teams, and visualizing operational impact.
Location: Remote
Base salary: $166,500–$185,000 annually, plus equity and benefits.
Company
hirify.global is a value-based oncology care enabler that combines human support, technology, data science, automation, and AI to improve cancer care outcomes.
What you will do
Ingest, transform, and accurately model eligibility, medical and pharmacy claims, prior authorization, and ADT healthcare data.
Improve data models and pipelines using SQL and dbt.
Develop scalable data transformations, novel attributes, and flags that enable care team action.
Build visualizations and analytics to measure the impact of care enablement initiatives.
Translate business requirements into technical plans for data models, pipelines, and analytics.
Collaborate with product, growth, operations, engineering, analytics, and external healthcare data teams.
Requirements
Expertise working with large healthcare datasets, including eligibility, claims, prior authorization, and ADT data.
Experience designing data models for operations and analytics and implementing transformations in SQL.
Strong proficiency in data modeling, data transformation, and claims analytics.
Ability to design scalable, reusable solutions for internal customers.
Clear communication with technical and non-technical stakeholders and comfort working in ambiguous, fast-paced environments.
Experience as an Analytics Engineer, Data Scientist, or Data Engineer in a scaling organization.
Nice to have
Experience with dbt or willingness to learn it quickly.
Experience with Looker or similar business intelligence and visualization tools.
Working knowledge of Python.
Experience in a healthcare-focused technology startup with mature data structures and pipelines.
Culture & Benefits
Remote work environment.
Equity and benefits are included in the total compensation package.
Values-driven culture focused on members, purposeful action, and diverse perspectives.
Inclusive and equal-opportunity workplace committed to improving healthcare.
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