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9 дней назад

Junior Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
China
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
Junior Data Scientist (AI) (Machine Learning, Generative AI, and Data Engineering): Building scalable data pipelines, machine learning solutions, and AI products for ESG and supply-chain intelligence with an accent on structured and unstructured data, cloud delivery, and trustworthy data products. Focus on developing production-ready models, LLM solutions, golden datasets, data governance, and measurable business insights.

Location: Hong Kong, Hong Kong

Company

hirify.global is a global assurance and risk management partner providing certification, cybersecurity, inspection, training, and supply-chain intelligence services. The role supports EiQ, an AI-enabled data product for ESG and supply-chain insight.

What you will do

  • Analyze structured and unstructured data to generate insights on ESG and supply-chain risks.
  • Design, build, deploy, and monitor scalable data pipelines and machine learning solutions.
  • Prepare and integrate internal and external data into reliable curated models and golden datasets.
  • Develop cloud-based data and AI solutions, preferably with Microsoft Azure.
  • Contribute to data, analytics, and AI product development and continuous improvement.
  • Translate business and ESG challenges into analytical approaches, practical solutions, and measurable outcomes while communicating findings to stakeholders.

Requirements

  • Master’s degree in computer science, data science, artificial intelligence, statistics, engineering, or a related quantitative discipline.
  • At least one year of relevant professional experience in data science, machine learning, or a related field.
  • Strong Python and SQL skills, including maintainable, testable, and reusable code.
  • Experience building data pipelines across ingestion, transformation, and curated data models.
  • Knowledge of machine learning, statistics, model evaluation, sampling, experimentation, uncertainty, and causality.
  • Professional written and spoken English is required. Experience with Azure, AWS, or GCP and practical knowledge of generative AI and large language model patterns are required.

Nice to have

  • Mandarin language capability.
  • Experience with data lakes, lakehouses, orchestration, distributed processing, APIs, containers, CI/CD, MLOps, or LLMOps.
  • Experience with document processing, NLP, multimodal solutions, data governance, observability, or automated data-quality testing.
  • Knowledge of supply chains, sustainability, ESG, social compliance, risk management, or assurance services.
  • Experience working with clients or cross-functional business stakeholders.

Culture & Benefits

  • Collaborative work environment within a global team.
  • Professional development and growth opportunities.
  • Flexible working arrangements where applicable.
  • Market-aligned salary and comprehensive benefits package.
  • Pre-employment checks may include identity, right-to-work, employment, education, and criminal-record verification where permitted by local law.

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