Senior Data Scientist, Impact Modeling & Analytics - US Program (AI)
Контакты
209 100 - 324 100$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
aidata sciencecausal inferencepredictive modelingreproducibilityeducation researchcost effectiveness analysismeta analysiseffect size estimation
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
развернуть
$209к-324к/год
$180к$210кмедиана$280к
По похожим ролям (48) ~ $210к/год
На СНГ рынке: $3.9к/мес ($3.2к - $4.2к)
90
Крутая вакансия
развернуть
Роль четко очерчена и соответствует senior-уровню, а работа связана с важными инициативами в сфере ИИ и образования; условия и репутация работодателя выглядят убедительно.
Понятная роль
ИИ в образовании
Сильный соцпакет
Только с правом на работу
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist, Impact Modeling & Analytics - US Program (AI): Building impact accounting models, predictive analyses, effect-size frameworks, and cost-effectiveness estimates to guide education and social-impact investment decisions with an accent on causal inference, research synthesis, reproducibility, and equitable outcomes. Focus on designing scenario analysis, translating complex model outputs for program leaders, and assessing AI-enabled interventions at scale.
Location: Seattle, WA, or Washington, DC, United States. Must have unrestricted work authorization in the country where the position is located. Immigration-related sponsorship is not available.
Salary: $209,100–$324,100 USD in Seattle and Washington, DC; the general salary range is $190,100–$294,700 USD.
Company
hirify.global is a nonprofit focused on reducing poverty, disease, and inequity through global health, education, and economic-impact initiatives.
What you will do
Build and maintain impact accounting models, effect-size extraction frameworks, cost-effectiveness estimates, and scenario analysis tools for portfolio investment decisions.
Lead predictive modeling and forward-looking analysis at strategy, initiative, and body-of-work levels.
Synthesize research, market intelligence, and pilot data for the Insights Engine for AI Effectiveness.
Establish reproducible, well-documented, auditable, and equity-aware modeling standards.
Partner with program officers, strategy teams, measurement, learning, and evaluation colleagues to apply modeling insights to portfolio planning, grant design, and governance.
Translate complex quantitative outputs into actionable guidance for non-technical audiences and leadership, and develop new modeling capabilities, tools, and data partnerships.
Requirements
Advanced degree or equivalent demonstrated experience, preferably in economics, statistics, public policy, education research, or a related quantitative field.
Mastery-level knowledge of quantitative modeling methods relevant to education and social-impact contexts, including causal inference, meta-analysis, effect-size estimation, cost-effectiveness analysis, and predictive modeling.
Significant experience building and maintaining analytical models that inform investment or program strategy decisions in education, social policy, or adjacent fields, including moving from research synthesis to decision-relevant outputs.
Significant experience serving as a technical resource to program or leadership teams on impact analysis, cost-effectiveness modeling, and decision analytics, including translating complex quantitative findings for non-technical audiences.
Experience developing and applying reproducibility and documentation standards that support peer review, assumption auditing, and equity assessment of model outputs.
Significant experience building collaborative partnerships with program teams, researchers, or institutional partners to co-develop analytical frameworks and integrate modeling insights into planning and governance processes.
Unrestricted work authorization in the United States is required.
Culture & Benefits
Comprehensive medical, dental, and vision coverage with no premiums.
Generous paid time off, paid family leave, regional holidays, and foundation-paid retirement contributions.
Opportunities to participate in employee communities and an inclusive workplace focused on diversity, equity, and inclusion.
Employment is contingent upon successful completion of a background check.
Candidate accommodations are available throughout the hiring and interview process.
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