WXG

DataScientist

Singapore FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Scientist at WXG. Skills: Data analysis, Computer Vision, LLM. Explore qualitative and quantitative data. Perform in-depth analysis”

Industry & Context.

Problems you'll solve

Identify problems; Propose data-driven solutions; Discover solutions

What They're Looking For.

Must Have

Bachelor's degree or above in Computer Science, Artificial Intelligence, Mathematics, Statistics, Data Science, or a similar quantitative field

Nice to Have

Hands-on experience with LLM application development (e.g., fine-tuning, RAG, Agent frameworks such as LangChain/LlamaIndex/AutoGen), Experience with computer vision models (e.g., object detection, image classification, multimodal models), Good knowledge of familiarity with C/C++, Familiarity with mainstream deep learning frameworks (PyTorch, TensorFlow), Familiarity with model deployment tools (e.g., Docker, FastAPI, TensorRT), Experience with vector databases (e.g., Milvus, FAISS, Pinecone), Experience with data pipeline tools

What You'll Do.

Explore qualitative and quantitative data

Perform in-depth analysis

Derive actionable insights

Propose data-driven solutions

Collect large data sets

Design automated data pipelines

Maintain automated data pipelines

Analyze data for patterns

Analyze data for trends

Analyze data for anomalies

Discover opportunities

Own computer vision infrastructure

Evolve computer vision infrastructure

Build CV model training pipelines

Optimize CV model training pipelines

Maintain CV model training pipelines

Build CV model serving pipelines

Optimize CV model serving pipelines

Maintain CV model serving pipelines

Build evaluation frameworks

Optimize evaluation frameworks

Maintain evaluation frameworks

Build related toolchains

Optimize related toolchains

Maintain related toolchains

Develop computer vision solutions

Deploy computer vision solutions

Leverage LLM-based approaches

Leverage machine learning techniques

Leverage deep learning techniques

How You'll Work.

Team & Collaboration

Collaborate with international stakeholders; Collaborate with headquarters-based teams

Communication Scope

Communicate complex technical ideas; Communicate insights to the business

Full Job Description

# **_Business Unit_** WeiXin Group(WXG) is responsible for the construction and operation of the Weixin ecosystem and leveraging Weixin's open platforms such as Official Accounts, Mini Programs, Weixin Pay, WeCom and search function. WXG provides solutions and connectivity for intelligent upgrades across all industries. WXG is also responsible for the development and operation of QQ Mail, WeRead and other products. # **_What the Role Entails_** * 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 # ** _Who We Look For_** * 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

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