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2 дня назад

Senior Data Scientist

Формат работы
remote (только Ireland)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Scientist (ML/AI): Building and deploying machine learning models to transform IT help desk services with an accent on predictive analytics, LLM integration, and time series analysis. Focus on uncovering patterns in large datasets, optimizing service delivery, and leading full-lifecycle data science projects from conceptualization to production.

Ireland, Remote

Company

hirify.global is reimagining the IT help desk by leveraging AI and machine learning to create smarter, faster support experiences centered on customers.

What you will do

  • Lead full-lifecycle data science projects from ideation to deployment and maintenance.
  • Collaborate with engineering, product, operations, and customer success teams to integrate ML capabilities.
  • Uncover patterns in large datasets, predict trends, and optimize service delivery.
  • Communicate complex data science concepts to diverse stakeholders.
  • Propose and lead new research areas, fostering innovation and continuous learning.
  • Elevate operational excellence and engineering standards in data science.

Requirements

  • 5+ years of experience in data science with impactful models and insights.
  • Proficiency in scikit-learn, plotly, pandas, and numpy.
  • Strong statistical background, especially in time series analysis.
  • Experience implementing tests and upholding engineering standards.
  • Excellent communication skills for technical and non-technical audiences.
  • Growth mindset open to learning and deploying LLM technologies.

Culture & Benefits

  • Nurturing environment valuing skills, contributions, and professional growth.
  • Opportunities for learning and development in data science and beyond.
  • Work with cutting-edge technology and influence the IT help desk future.
  • Culture emphasizing impact over pure research.
  • Modern tech stack with input on data science tools as the team grows.
  • Collaborative environment championing curiosity, adaptability, and teamwork.

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