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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$80к-135к/год
$160к$180кмедиана$250к
По похожим ролям (49) ~ $180к/год
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Средняя вакансия
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Роль четко описана и связана с важной миссией, но зарплата значительно ниже ориентира для похожих позиций, что снижает привлекательность вакансии при таком объеме исследовательских задач.
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Ниже рынкаВысокий порогЧеткие задачиОбразовательная миссияТолько США
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Associate Research Scientist (Education Research/Data Analysis): Building an evidence base on advanced high school course taking by collecting and managing transcript data, creating dashboards, conducting statistical analyses, and publishing research findings with an accent on educational outcomes and stakeholder-focused communication. Focus on designing data pipelines, analyzing large educational datasets with advanced statistical methods, and translating complex findings into reports, visualizations, and presentations.
Location: Fully remote in the United States; candidates near hirify.global offices may choose hybrid work with office attendance on Tuesdays and Wednesdays. Authorization to work in the United States is required. Travel up to 6–8 times per year is required.
Salary: $80,000–$135,000 annually.
Company
hirify.global is a self-sustaining nonprofit focused on expanding educational and career opportunities through learning and assessment programs, including Advanced Placement.
What you will do
Collaborate with program partners, product owners, field staff, and researchers to identify research needs and design studies supporting student success through evidence-based findings.
Conduct customized research for individual K–12 districts and tailor research questions, analyses, and deliverables to their needs.
Acquire, clean, organize, and manage student transcript data from districts and other partners, including building repeatable processes for varied data sources.
Design and maintain data pipelines that merge transcript data with institutional and outcomes datasets, including data-quality checks and documentation.
Build, maintain, and iterate dashboards and analytic tools that show trends in advanced high school course taking and related outcomes.
Conduct advanced statistical analyses, prepare reports, memos, presentations, and visualizations, and communicate findings to technical and non-technical audiences.
Requirements
Ph.D. or Ed.D. in Education, Psychology, Educational Measurement, Economics, Sociology, Public Policy, or a related quantitative field.
Excellent data coding, manipulation, and analysis skills, with a strong foundation in research methodology and advanced statistical techniques.
Experience collecting, cleaning, and organizing large, messy, real-world datasets from multiple external sources, including student transcript or administrative K–12 data.
Experience building dashboards or data visualization tools, such as Tableau, for varied audiences.
Experience with large, national datasets related to the education industry and the ability to work accurately and quickly with new datasets.
Strong problem-solving, adaptability, organization, prioritization, and multitasking skills, with the ability to work independently and collaboratively.
Excellent verbal and written communication skills, including presenting to technical and non-technical audiences and authoring reports for publication.
Ability to collaborate agilely with researchers and non-researchers and support organizational priorities.
Authorization to work in the United States.
Nice to have
No optional qualifications were explicitly identified.
Culture & Benefits
Fully remote work is available, with a hybrid option for candidates located near hirify.global offices.
Mission-driven work focused on expanding educational and career opportunities.
Supportive, collaborative, and empathetic environment with a learner’s mindset and commitment to continuous improvement.
Opportunities to experiment with emerging technologies, including AI-driven solutions and new digital tools.
Compensation is adjusted by location and discussed transparently throughout the hiring process.
Hiring process
Application review begins immediately and continues until the position is filled; applications are expected to be accepted for at least five business days.
The process may include application review, recruiter phone or video screening, a hiring manager interview, a performance exercise such as live coding, a panel interview, leadership discussion, and reference checks.
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