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8 часов назад

IT Internship - Remote (Summer 2027)

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

Текст:
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TL;DR
IT Internship - Remote (Summer 2027) (Data Science, Analytics, and AI): Supporting data-driven solutions for business challenges through data analysis, reporting, visualization, machine learning, and emerging AI technologies with an accent on data quality, business intelligence, and cross-functional collaboration. Focus on cleansing and analyzing data, building Power BI or Tableau dashboards, writing SQL queries, and assisting with AI/ML proof-of-concept initiatives.

Location: Remote, Irving, Texas

Company

hirify.global supplies building materials, value-added components, and building services to the professional market in the United States.

What you will do

  • Support data analytics, data science, and artificial intelligence projects.
  • Gather, cleanse, validate, organize, and analyze data to identify trends and actionable business insights.
  • Assist with business intelligence dashboards, reports, and visualizations using Power BI or Tableau.
  • Write and execute SQL queries and support data analysis with Python or R.
  • Contribute to proof-of-concept initiatives involving machine learning and generative AI.
  • Collaborate with cross-functional teams and prepare presentations, reports, and recommendations for business stakeholders.

Requirements

  • Actively pursuing a bachelor's degree in Computer Science, Computer Information Systems, Data Science, Data Analytics, or a related field.
  • Preferred GPA of 3.0 or higher.
  • Exposure to data analytics, SQL, AI/ML concepts, Power BI or Tableau, and Python or R.
  • Strong oral, written, analytical, problem-solving, and data-communication skills.
  • Ability to manage multiple tasks and collaborate effectively with diverse groups.

Nice to have

  • Senior-level undergraduate standing is preferred, although other class levels may be considered.
  • Interest in artificial intelligence, machine learning, data science, and emerging technologies.

Culture & Benefits

  • Supportive, people-first culture focused on learning and career development.
  • Training, tools, and resources for hands-on professional experience.
  • Competitive and affordable benefits for employees and families.

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