Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный фокус на data science и полный цикл аналитики от подготовки данных до рекомендаций, а обучение поддерживается явно; временный контракт добавляет неопределённости.
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Срочный контрактАктуальные инструментыПонятная зона ответственностиПоддержка развития
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Portfolio Optimization Data Scientist - North QA (Machine Learning/Statistics): Building analytical tools, dashboards, and data-driven portfolio improvement solutions for quality assurance with an accent on large-scale data analysis, hypothesis testing, anomaly detection, and machine learning. Focus on preparing complex data from multiple sources, deploying analytics solutions in on-premises and cloud environments, and identifying corrective actions to improve product performance.
Location: Based in Alicante, Spain, at hirify.global's Technology Hub.
Company
hirify.global provides security services and technology designed to protect customers and support service and operations teams.
What you will do
Define, design, and implement analysis and insight tools that convert data into communicated insights for the North QA team.
Prepare data from multiple sources into aggregated datasets and analyze large volumes of complex data.
Apply machine learning, data mining, and classical statistical methods to quality assurance and portfolio analytics.
Build analytics solutions, dashboards, and reports in collaboration with scientists and engineers across hirify.global, using on-premises and cloud environments.
Monitor product performance in the field, analyze operational issues, and support data-driven portfolio improvement programs.
Recommend corrective actions and maintain proactive suggestions for improving portfolio performance.
Requirements
Degree in computer science, mathematics, statistics, physics, or a related field where statistics and complex analysis are core skills.
Comfort working with classical statistics, including hypothesis testing, confidence intervals, and recognition of classical distributions.
Daily experience with data analysis tools such as R, SQL, or similar.
Programming and problem-solving skills for analytical tool development and implementation.
Ability to collaborate with scientists, engineers, QA teams, and other functions to identify where machine learning and AI can add value.
Ability to present, communicate, and share analytical insights and learning.
Nice to have
Experience working as a data scientist or data analyst.
Experience across the analytics chain, from raw data and feature engineering through analysis to stable deployed models that support better decisions.
Power BI knowledge for reporting and presentation-layer work.
Culture & Benefits
Collaborative environment focused on integrity, respect, accountability, and knowledge sharing.
Entrepreneurial spirit and a high-performance organization.
Personal development opportunities and on-the-job training.
Training budget to support personal growth.
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