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SENIOR DATA SPECIALIST

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Onsite

SENIOR DATA SPECIALIST

OSIM International

SENIOR DATA SPECIALIST

Skills

SQL QueriesE-commerce WebsitesDockerPythonData ScienceRAWS LambdaData AnalysisMachine LearningAIAWS

2 months ago

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Important information


Location:

Singapore

Work mode:

Onsite

Published on:

23 August 2026

What they need


ROLE & RESPONSIBILITIES:

  • Develop and maintain analytics dashboards and reports.
  • Develop and maintain data pipelines, ETL/ELT processes, and data integrity (ingesting, transforming, and aggregating data).
  • Develop and maintain data applications (both frontend and backend).
  • Develop and maintain GenAI/ML solutions to solve business problems (ingesting, embedding, and serving).
  • Analyze customer behavior, perform predictive analytics, and provide ad-hoc analysis to support business decisions.
  • Monitor key metrics and proactively alert the business to potential issues.
  • Uphold data governance, security, and privacy standards across markets (e.g. access control, PII handling).
  • Document pipelines, models, and applications, and partner with stakeholders to gather requirements and translate them into technical solutions.

REQUIREMENTS & QUALIFICATIONS:

  • Bachelor's / Master's degree in Data Science, Computer Science, Analytics, Engineering, or a related discipline, with a minimum of 2–3 years' experience in a similar role.
  • Strong SQL, Python, and R/Shiny skills.
  • Experienced with cloud-native platforms (AWS preferred) and modern data architectures.
  • Experience developing data applications and data pipelines (highly preferred).
  • Experience with GenAI technologies, RAG and Graph-RAG architectures, vector databases, and API development.
  • Strong curiosity and a willingness to continuously learn and adopt new technologies, tools, and analytical methods.
  • Able to multitask and prioritize across multiple projects and ad-hoc requests.
  • An effective communicator to both technical and business audiences.
  • Experience in Marketing, E-Commerce, Retail or Operations analytics, GenAI project delivery, AI certifications, and familiarity with BI tools, dashboarding frameworks, analytical databases (e.g. Apache Doris, ClickHouse), containerization and infrastructure-as-code (e.g. Docker, AWS Lambda) will be a plus.

Interested and suitable candidates, please send your resume and portfolio to [email protected].

We regret that only shortlisted candidates will be notified.

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