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10 дней назад

Data Science Intern

Формат работы
hybrid
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
Data Science Intern (Data Science/ML): Analyzing structured and unstructured data, preparing datasets, and contributing to models and visualizations that support business decision-making with an accent on exploratory data analysis, data integration, and machine learning. Focus on validating model performance, translating analytical insights into visualizations, and supporting data science solutions.

Location: United States; hybrid work with an average of 2 days per week from an HPE office

Company

hirify.global is a global edge-to-cloud technology company that helps organizations connect, protect, analyze, and use data and applications.

What you will do

  • Analyze and validate datasets, solutions, and user experiences.
  • Prepare data for exploratory data analysis and hypothesis development.
  • Support metadata development, data loading, data mapping, transfer, and migration.
  • Contribute to building, validating, and selecting analytical and machine learning models.
  • Research and deliver data science solutions to business problems.
  • Visualize model insights and support analytics model configuration tools.

Requirements

  • Working toward a Bachelor's or Master's degree in Data Science, Computer Science, Computer Engineering, Software Development, or a related IT field.
  • Basic knowledge of data science methodologies, machine learning, data integration, modeling, and data visualization.
  • Basic understanding of business requirements, data science objectives, and ETL tools.
  • Basic knowledge of analytics software and programming languages, including R, SAS, SPSS, or Python.
  • Basic communication and presentation skills.
  • Ability to work an average of 2 days per week from an HPE office in the United States.

Culture & Benefits

  • Health and wellbeing benefits supporting physical, financial, and emotional wellbeing.
  • Personal and professional development programs supporting career growth.
  • Inclusive workplace that values varied backgrounds and individual uniqueness.
  • Flexible approach to managing work and personal needs.

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