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Задачи в аналитике описаны четко, а сочетание продуктового контекста, здравоохранения и востребованных инструментов выглядит перспективно; преимущественно офисный формат в Нью-Йорке ограничивает гибкость.
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Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (Healthcare): Analyzing large healthcare marketplace datasets and building statistical, experimental, and causal analyses with an accent on product metrics, data quality, and reproducible insights. Focus on designing experiments, investigating metric changes, automating data workflows, and communicating findings to product, finance, and engineering stakeholders.
Location: New York, NY; occasional remote work may be permitted only within a commutable distance from the worksite.
Salary: $165,000–$175,000 per year. An additional NYC base salary range of $130,000–$170,000 USD is also listed.
Company
hirify.global operates a digital healthcare marketplace that helps patients find and book in-person or video visits with healthcare providers.
What you will do
Analyze, clean, transform, and process large datasets using SQL, Python, R, and statistical software.
Execute end-to-end analyses addressing product and business questions, including structured investigations into metric changes and potential drivers.
Design and analyze experiments and causal analyses, interpreting results, limitations, assumptions, and uncertainty.
Partner with Product, Engineering, and Data Engineering to validate metric definitions, experiment setup, and measurement readiness.
Create dashboards, reports, charts, and visualizations to communicate findings and recommendations to stakeholders.
Document analytical context, methodology, assumptions, conclusions, and data-quality issues clearly and reproducibly.
Requirements
Bachelor’s degree or foreign equivalent in Business Analytics, Engineering, Math, or a related field.
At least 2 years of experience in the offered role or a related quantitative occupation.
At least 2 years of experience reviewing business intelligence, dashboarding, reporting, and data analytics using Tableau, Looker, BigQuery, and AWS S3.
At least 2 years of experience with statistical modeling, causal analytics, and experimental design using R, including R Shiny, and SQL.
At least 2 years of experience manipulating large datasets with Python and Snowflake for extraction, cleaning, transformation, and workflow automation.
At least 2 years of experience using Tableau, Looker, Figma, FigJam, Miro, and other visualization tools to create dashboards, reports, and visual insights.
Culture & Benefits
40 hours per week.
Collaborative, mission-driven environment focused on improving access to healthcare.
Commitment to diversity, equal opportunity, and a workplace free of discrimination and harassment.
Certain positions may include variable pay or equity in addition to base salary.
Hiring process
Apply online through the hirify.global careers page or email a resume to hirify.globaljobs@hirify.global.com.
Reference the job title and requisition number GA27AD in the application.
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