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12 часов назад

Lead Data Scientist (Market Research)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Lead Data Scientist (Market Research): Leading data science initiatives for specific markets and industries to drive revenue and EBITDA with an accent on translating business needs into analytical strategies. Focus on innovating out-of-the-box solutions using large datasets, designing prototypes, and coaching junior data scientists.

Location: Petaling Jaya, Malaysia (Hybrid)

Company

NIQ is the world’s leading consumer intelligence company, delivering a complete understanding of consumer buying behavior and revealing new pathways to growth.

What you will do

  • Own Data Science for specific markets/industries and act as a business partner for country, commercial, product, and technology leaders.
  • Collaborate directly with clients to translate strategic business needs into innovative analytical solutions.
  • Design and conduct studies and tests to build proof-of-concept and prototypes for various use cases.
  • Lead, coach, and develop a team of junior data scientists, setting clear performance objectives.
  • Leverage large, diverse datasets and state-of-the-art technologies to create innovative, out-of-the-box solutions.
  • Identify and evaluate third-party capabilities and datasets to develop new product offerings.

Requirements

  • Degree in Mathematics, Data Science, Statistics, or a related field involving statistical analysis of large data sets.
  • 5+ years of experience in market research or a relevant field.
  • Solid understanding of the CPG/FMCG industry and retail market impact on client business.
  • Strong proficiency in Statistics and critical/logical thinking for data analysis.
  • Great command of written and spoken English.

Nice to have

  • Experience with eCommerce, webscraping solutions, or consumer-sourced data solutions.
  • Proficiency in programming languages such as Python or R.
  • Knowledge of data visualization tools like Spotfire or Tableau.

Culture & Benefits

  • Flexible working environment with hybrid work options.
  • Opportunities for personal and professional growth with ongoing training.
  • Access to LinkedIn Learning for continuous skill development.
  • Employee-Assistance-Program (EAP) and volunteer time off.

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