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5 дней назад

Intern - Data Scientist (Automotive)

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

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TL;DR
Intern - Data Scientist (Automotive): Building and optimizing audience and statistical models for automotive customer analytics with an accent on data visualization, market research, and data-driven storytelling. Focus on evaluating models, identifying patterns with SQL and statistical methods, and transitioning data solutions into production systems.

Location: Remote/Homebased in Conway, Arkansas, United States

Company

hirify.global works with customer data, analytics, and data-driven marketing solutions.

What you will do

  • Support data-driven storytelling and visualization initiatives for the Automotive team, with GM as the first priority.
  • Use internal and partner data to develop high-value audience opportunities and analytical models.
  • Build, evaluate, and optimize statistical and data science models.
  • Apply algorithms and statistical modeling to improve product performance and quality.
  • Collaborate with data scientists, team leads, account teams, and external stakeholders to define requirements and business goals.
  • Help transition development projects and data solutions into production systems.

Requirements

  • Currently pursuing a bachelor's or master's degree in business, data science, statistics, mathematics, or a related field; an MBA or similar graduate degree is relevant.
  • Basic to moderate SQL experience for modeling data and identifying patterns.
  • Knowledge of marketing analytics, data science, visualization, business analysis, statistics, or market research.
  • Strong interpersonal, communication, organizational, and independent-working skills.
  • Ability to collaborate effectively and manage detailed work across multiple projects.
  • Availability for 20–25 hours per week during the semester and up to 40 hours per week during breaks and summer.

Nice to have

  • Experience with Google Cloud Platform, Google Analytics, Tableau, or Looker.
  • Experience applying statistics and data science tools to datasets.
  • Scripting experience with Python, Perl, or similar languages.
  • Ability to read Java logs and XML to identify issues.
  • Proficiency with Microsoft Office Suite and CRM software.

Culture & Benefits

  • Fast-paced, high-performance environment focused on innovative work.
  • Emphasis on collaboration, operational improvement, and professional development.
  • Focus on work-life balance and an engaging workplace culture.
  • Opportunities to develop as a future leader and contribute to challenging projects.

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