锦鲤求职岗位描述
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.