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6 дней назад

Associate Data Scientist

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Vietnam
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
Associate Data Scientist (Python/SQL/Statistics): Developing data science solutions, prototypes, and automated processes for consumer intelligence and client analytics with an accent on statistical analysis, diverse datasets, and business communication. Focus on exploring large datasets, designing innovative use cases, translating complex findings for non-experts, and collaborating with data science teams.

Location: 106 Nguyen Van Troi, Ho Chi Minh City, Vietnam; hybrid work

Company

NIQ is a consumer intelligence company providing retail measurement, consumer insights, and advanced analytics across global markets.

What you will do

  • Own data science solutions for client requests and provide initial recommendations for complex issues.
  • Support internal and external clients in understanding data science design and methodology.
  • Work with senior leaders and clients to understand business needs and propose innovative solutions.
  • Create use cases, proofs of concept, and prototypes by exploring diverse datasets with Python and R.
  • Automate and develop solutions for existing processes using large datasets and modern technologies.
  • Collaborate with other data science units and contribute to new solutions for client challenges.

Requirements

  • Degree in mathematics, data science, statistics, or a related field involving statistical analysis of large datasets.
  • 6 months to 1 year of experience in market research or a relevant field.
  • Mandatory skills: Python, SQL, and statistics.
  • Good written and spoken English; ability to explain complex concepts to non-experts.
  • Problem-solving skills, intellectual curiosity, persistence, and willingness to learn new technologies.
  • Strong collaboration and interpersonal communication skills.

Nice to have

  • Power BI and experience with data visualization tools such as Spotfire or Tableau.
  • Experience with mapping tools and collaboration tools including Atlassian, Git, Bitbucket, or Confluence.
  • Familiarity with machine learning, marketing analytics, experiment design, and consumer behavior analysis.

Culture & Benefits

  • Hybrid and flexible working environment.
  • Use of modern digital technologies.
  • Ongoing training and opportunities for personal and professional growth.
  • Volunteer time off, LinkedIn Learning, and an Employee Assistance Program.

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