O
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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