数据分析&数据科学Data Scientist

About Us

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, as well as middle- and back-office support, to empower our clients with streamlined operations and cutting-edge strategies.

With a global team of over 2,000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morocco, Cyprus, and more.

Job Summary

We are looking for a highly analytical and business-savvy Data Scientist to join our data platform & intelligence team. The ideal candidate is a data master who can translate complex datasets into clear, actionable business strategies, and build machine learning models that turn data into predictive, automated decision-making. You will be responsible for detecting business abnormalities, performing deep-dive root cause analysis, developing predictive and analytical models, and delivering high-level summaries that guide our internal leaders and global clients.

Key Responsibilities

• Business Intelligence & Analysis: Deep-dive into customer behavior, business performance, and operational metrics to identify growth opportunities and potential risks.
• Machine Learning & Modeling: Design, build, train, and deploy machine learning models (e.g., forecasting, classification, anomaly detection, customer segmentation, churn/risk prediction) to drive predictive insights and automate decision-making at scale.
• Root Cause Investigation: Proactively identify data abnormalities (e.g., performance dips, operational shifts) and perform comprehensive root cause analysis to provide clarity to stakeholders.
• Technical Execution: Develop and optimize automated data pipelines and dashboards using SQL and Python to ensure high-quality, real-time reporting, and operationalize models into production-ready workflows.
• Synthesis & Communication: Translate complex technical findings and model outputs into concise executive summaries and natural language insights for non-technical business leaders.
• Strategic Collaboration: Act as a bridge between data engineering and business units to ensure analytical and modeling solutions are perfectly aligned with real-world business needs.

Qualifications

• Educational Background: Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Data Science, Machine Learning, or Finance).
• Technical Mastery: Proven ability to query large, complex databases and optimize performance using SQL.
• Proficient Python: Strong coding skills for data manipulation (Pandas, NumPy) and automated analysis.
• Machine Learning Expertise: Hands-on experience building and deploying ML models using frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch, including feature engineering, model evaluation, and tuning. Familiarity with MLOps practices (model deployment, monitoring, and versioning) is a plus.
• Business Analysis Experience: 5+ years of experience in data analysis or data science, specifically in identifying business trends and solving real-world problems.
• Synthesizing Ability: Exceptional ability to "tell a story" with data, moving beyond the "what" to explain the "why" and "so what" in clear business terms.
• Communication: Strong communication skills, with fluency in English and Mandarin, to effectively collaborate with diverse, cross-functional teams.
• Industry Context: Experience in Fintech (Crypto, Trading, Banking) or related financial data environments is highly desirable.

数据科学家(Data Scientist)

关于我们

Hytech 是一家总部位于澳大利亚和新加坡的领先管理咨询公司,专注于为金融科技及金融服务企业提供数字化转型服务。我们提供端到端的咨询解决方案,以及中后台业务支持,帮助客户实现流程优化与前沿战略落地。

Hytech 在全球拥有超过 2,000 名专业人员,业务网络覆盖澳大利亚、新加坡、马来西亚、中国台湾、菲律宾、泰国、摩洛哥、塞浦路斯等地。

职位概述

我们正在为数据平台与智能团队寻找一位高度分析型、具备商业敏锐度的数据科学家。理想的候选人应是一位 "数据大师",能够将复杂数据集转化为清晰、可落地的商业策略,并通过构建机器学习模型,把数据转化为预测性、自动化的决策能力。您将负责识别业务异常、开展深度根因分析、开发预测与分析模型,并向内部管理层及全球客户交付高层级洞察报告。

岗位职责

• 商业智能与分析:深入分析客户行为、业务表现与运营指标,识别增长机会与潜在风险。
• 机器学习与建模:设计、构建、训练并部署机器学习模型(如预测、分类、异常检测、客户分群、流失 / 风险预测),驱动预测性洞察,实现规模化自动决策。
• 根因调查:主动识别数据异常(如业绩下滑、运营变动),开展系统性根因分析,为利益相关方提供清晰解释。
• 技术执行:使用 SQL 与 Python 开发并优化自动化数据管道及仪表盘,保障高质量的实时报告,并将模型落地为生产级工作流。
• 总结与沟通:将复杂的技术发现与模型输出,转化为面向非技术高管的简洁摘要与自然语言洞察。
• 战略协作:作为数据工程与业务部门之间的桥梁,确保分析及建模方案与真实业务需求精准对齐。

任职要求

• 教育背景:计算机科学、统计学、数据科学、机器学习或金融等量化相关专业本科或硕士学历。
• 技术能力:熟练使用 SQL 查询大型复杂数据库,并具备性能优化能力。
• Python 能力:扎实的编程功底,熟练使用 Pandas、NumPy 进行数据操作与自动化分析。
• 机器学习专长:具备使用 scikit-learn、XGBoost、TensorFlow 或 PyTorch 等框架构建并部署 ML 模型的实际经验,涵盖特征工程、模型评估与调优;熟悉 MLOps 实践(模型部署、监控、版本管理)者优先。
• 业务分析经验:5 年以上数据分析或数据科学经验,擅长识别业务趋势并解决实际问题。
• 综合能力:出色的 "用数据讲故事" 能力,不仅能回答 "What",更能以清晰的业务语言解释 "Why" 与 "So what"。
• 沟通能力:优秀的沟通能力,中英文流利,能高效协作于多元化的跨职能团队。
• 行业背景:具备金融科技(加密、交易、银行)或相关金融数据环境经验者优先。