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Senior Data Scientist

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

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TL;DR

Senior Data Scientist: Co-developing production-level data science projects, analyzing various data and machine learning applications across industries. Focus on providing data science expertise to customers and developing custom Python-based plugins.

Location: English - fluent, Arabics - fluent/native will be a big plus

Company

hirify.global is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents.

What you will do

  • Co-develop production-level data science projects with customers.
  • Analyze and investigate various kinds of data and machine learning applications across industries and use cases.
  • Help users discover and master the hirify.global platform through user trainings and ongoing consultative support.
  • Provide data science expertise to customers and internally to hirify.global’s sales and marketing teams.
  • Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance hirify.global’s functionality.

Requirements

  • English - fluent, Arabics - fluent/native will be a big plus
  • Curiosity and a desire to learn new topics and skills.
  • Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, hirify.global’s customers, and the general public.
  • The ability to clearly explain complex topics to technical as well as non-technical audiences.
  • 2 - 10 years of experience with Python and SQL.
  • 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn).
  • Familiarity with data visualisation in Python and R.
  • Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL.

Nice to have

  • Experience with Consulting and/or Customer-facing Data Science roles.
  • Experience with Data Engineering or MLOps.
  • Experience developing WebApps in JavaScript, RShiny, or Dash.
  • Experience building APIs.
  • Experience using enterprise data science tools.
  • Passion for teaching or public speaking.

Culture & Benefits

  • Be part of a journey to shape the ever-evolving world of AI.
  • Make a significant impact in a company that values innovation, collaboration, and your personal growth.

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