Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$90к-110к/год
$56к$71кмедиана$90к
По похожим ролям (50) ~ $71к/год
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Хорошая вакансия
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Понятные задачи для младшего специалиста, зарплата выше рынка и хорошие льготы делают вакансию привлекательной, но поездки до 50% времени могут заметно повлиять на привычный образ жизни.
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Много поездокПонятные задачиАктуальный стекВыше рынкаЗначимый доменДоля в стартапе
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Junior Mission Solutions Architect (Data Analytics): Analyzing complex operational technology data to generate actionable customer insights with an accent on statistical analysis, hypothesis testing, and predictive support. Focus on breaking down ambiguous mission problems, building reusable analytical components, and translating findings into data-driven decisions.
Location: Rosslyn, Virginia or remote; ability and willingness to travel up to 50% of the time within the US.
Salary: $90,000–$110,000 base salary.
Company
hirify.global builds a data platform for onboard operational technology, delivering cybersecurity, predictive maintenance, and compliance capabilities for defense and commercial fleets.
What you will do
Perform structured data analyses under senior guidance to extract actionable insights and solve customer problems.
Use statistical tools and software to identify patterns, trends, and anomalies in complex datasets for diagnostic and predictive support.
Help identify customer problem sets, prioritize issues, scope solution requirements, and analyze how problems appear in data.
Support the development of testable hypotheses, identify required data sources, and help create and execute testing suites.
Translate analytical workflows into modular, reusable components for data science capabilities and services.
Collaborate with programmers, engineers, project leads, and internal stakeholders on process improvements, system updates, and data strategies.
Requirements
1–2 years of industry experience or equivalent practical research experience through undergraduate laboratory research or technical coursework.
Receptiveness to mentorship, guidance, direction, and constructive feedback.
Ability to learn to break down unstructured, ambiguous, and complex problems into manageable parts.
Aptitude in a generic analytics coding language such as Python, R, SQL, or MATLAB.
Data analysis skills, including identifying data types and technical tests required to validate hypotheses.
Willingness to learn to articulate the business impact of data analysis and connect findings to decision points.
Excellent communication and interpersonal skills, including presenting technical information clearly and efficiently to non-technical audiences.
Confidence to acknowledge mistakes and ask for help.
Ability and willingness to travel up to 50% of the time within the US.
Nice to have
Experience contributing to guided end-to-end project execution from problem definition through final deliverable.
Exposure to time-series data analysis.
Formal education in data science or a related field, with emphasis on linear algebra, computation, and statistics.
Industry exposure in defense, aerospace, cybersecurity, or mechanical engineering.
Culture & Benefits
Bonus program and equity in a fast-growing startup.
Medical, dental, and vision coverage for employees and families.
Health Savings Account with annual employer contributions.
Employer-paid life and disability insurance.
Uncapped paid time off, flexible work, and remote work policy.
Tax-deferred public transit benefits through Metro SmartBenefits.
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