Senior Data Scientist

WECHAT INTERNATIONAL PTE. LTD.

Singapore

On-site

SGD 90,000 - 150,000

Full time

5 days ago
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Job summary

WECHAT INTERNATIONAL PTE. LTD. in Singapore seeks a data analytics specialist to drive data-driven insights across the WeChat ecosystem.

You will analyze qualitative and quantitative data, build dashboards and automated pipelines, and communicate findings to business teams for action. You will own and evolve CV model training/serving pipelines and deploy CV/OCR/multimodal solutions as business needs arise. The role requires expertise in LLM development, computer vision, and DL frameworks, with

Qualifications

  • Formal degree in a quantitative field (CS/AI/Math/Data Science) or higher.
  • Hands-on LLM development experience (fine-tuning, RAG, agent frameworks).
  • Familiarity with computer vision models and DL frameworks like PyTorch/TensorFlow.
  • Strong Python skills; C/C++ familiarity is a plus.
  • Experience deploying models with Docker, FastAPI, TensorRT; vector DBs a plus.
  • Ability to explain complex ideas to non-technical stakeholders clearly.
  • Fluency in English and Mandarin for international collaboration.

Responsibilities

  • Explore datasets, perform in-depth analysis, and propose data-driven solutions.
  • Collect, clean, validate, and transform large structured and unstructured data.
  • Design and maintain dashboards, reports, and automated data pipelines.
  • Identify patterns and anomalies to uncover opportunities/threats.
  • Build storytelling around findings for business action.
  • Own and evolve computer vision infrastructure and pipelines.
  • Develop and deploy CV solutions for image/video understanding and OCR.
  • Leverage LLM-based approaches to enhance analytics and features.

Skills

LLM development
Python
Communication
Presentation skills
Team collaboration
Problem solving
Bridge business & tech

Education

Bachelor's degree or above (CS/AI/Math/Data Science)

Tools

Docker
FastAPI
TensorRT
PyTorch
TensorFlow
Milvus
FAISS
Pinecone
LangChain

Job description

Roles & Responsibilities
  • Explore both qualitative and quantitative data sets, perform in-depth analysis to derive actionable insights, identify problems, and propose data-driven solutions for the WeChat ecosystem
  • Collect large sets of structured and unstructured data from independent sources; clean, validate, and transform data to ensure accuracy, completeness, and uniformity
  • Design and maintain dashboards, reports, and automated data pipelines to support ongoing business monitoring and decision-making
  • Analyze data to identify patterns, trends, and anomalies, uncovering potential opportunities and/or threats to the WeChat ecosystem
  • Interpret findings to discover solutions or opportunities and build story-boards to communicate insights to the business for action
  • Own and evolve the computer vision infrastructure, including building, optimizing, and maintaining CV model training/serving pipelines, evaluation frameworks, and related toolchains
  • Develop and deploy computer vision solutions (e.g., image/video understanding, OCR, content moderation, multimodal analysis) to address business needs across the WeChat ecosystem
  • Leverage LLM-based approaches and other machine learning / deep learning techniques where appropriate to enhance analytical capabilities and support intelligent product features
Knowledge & Competencies:
  • Bachelor's degree or above in Computer Science, Artificial Intelligence, Mathematics, Statistics, Data Science, or a similar quantitative field
  • Hands-on experience with LLM application development (e.g., fine-tuning, RAG, Agent frameworks such as LangChain/LlamaIndex/AutoGen) is strongly preferred
  • Experience with computer vision models (e.g., object detection, image classification, multimodal models) is a plus
  • Good knowledge of Python; familiarity with C/C++ is a plus
  • Familiarity with mainstream deep learning frameworks (PyTorch, TensorFlow) and model deployment tools (e.g., Docker, FastAPI, TensorRT) is preferred
  • Experience with vector databases (e.g., Milvus, FAISS, Pinecone) or data pipeline tools is a plus
  • Ability to communicate complex technical ideas to non-technical stakeholders in a clear and accessible manner
  • Self-driven, innovative, and collaborative, with strong communication and presentation skills; able to bridge business and technical audiences
  • Fluency in both English and Mandarin to collaborate with international stakeholders and headquarters-based teams
  • A passion for exploring new technologies and a proactive approach to solving complex engineering challenges.
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