主要工作内容： • Deliver advanced analytics and AI/ML solutions that transform business challenges into measurable value. • Design, validate, and industrialize predictive and prescriptive models in collaboration with Data Engineers and Architects. • Drive analytical maturity and data-driven decision-making across business and IT stakeholders. • Communicate model outputs and analytical findings in clear business language, helping stakeholders understand implications, recommended actions, limitations, and expected value. • Build, evaluate, document, and improve data science prototypes and MVP models, and support industrialization with Data Engineers, Data Architects, Product Teams, and Security/Compliance stakeholders. Key Outputs: 1.Business Problem Framing & Use Case Definition • Translate business challenges into well-defined analytical use cases and hypotheses. • Partner with business stakeholders to identify high-value opportunities for analytics and AI. 2. Advanced Analytics & Model Development • Design and develop statistical, machine learning, and AI models (diagnostic, predictive, prescriptive). • Apply appropriate techniques to structured and unstructured data to generate actionable insights. 3. Hypothesis Testing & Validation • Define testing strategies, validate hypotheses, and assess model viability through agile experimentation. • Ensure statistical rigor and reproducibility of results. 4.Industrialization of Analytics Solutions • Collaborate with Data Engineers and Solution Architects to embed models into scaled, production-ready solutions. • Ensure sustainability, monitoring, and continuous improvement of deployed models. 5.Business Value Realization • Ensure every analytics initiative delivers measurable business impact and ROI. • Track, quantify, and communicate value delivered through data science. 岗位要求： • Master's or PhD in Statistics, Computer Science, or related field, with 3+ years of applied analytics/data science experience. • Strong expertise in machine learning, statistics, and AI/GenAI techniques to solve complex business problems • Experience with CRISP-DM, Agile, and MLOps methodologies for industrialized analytics delivery. • Proficiency in statistical methodologies and analytical programming, with hands-on experience in Python and/or R for exploratory data analysis, feature engineering, machine learning model development, model evaluation, and reproducible analytical workflows. • Experience using data visualization techniques and statistical programming software like MS Power BI, R, Shiny and information modelling in SQL • Excellent communication skills in Mandarin and English, with proven ability to engage global and local teams. • Self-driven, problem-solving mindset with a focus on product development and business value. • Awareness of China data compliance (PIPL, DSL, CSL) and familiarity with China digital ecosystem (Tmall, JD, Douyin, WeChat). • Strong knowledge in predictive modeling methodology • Understanding of modern data platforms such as Snowflake, Databricks, Azure, or equivalent cloud/data platforms is preferred.