WXG
DataScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist at WXG. Skills: Data analysis, Computer Vision, LLM. Explore qualitative and quantitative data. Perform in-depth analysis”
Industry & Context.
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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