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7 дней назад

Portfolio Optimization Data Scientist - North QA

Формат работы
onsite
Тип работы
project
Грейд
middle
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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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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