Data Scientist

**Location**:Singapore
**Reporting to**:Head of Data Science

**Position Overview**

We are a fast-growing SME software house in Singapore, founded by IT experts and specializing in CRM and custom software solutions. As part of our expansion, we are strengthening our data capabilities to drive innovation and business growth.

As a **Data Scientist**, you will partner with the Head of Data Science to design, train, and deploy advanced ML, deep learning, and LLM models. Your work will directly enable initiatives in user behavior modeling, retention optimization, personalization, risk management, and growth strategies.

**Key Responsibilities**

**AI/ML**
- Develop and deploy ML, deep learning, and LLM models for behavior prediction, retention, recommendations, risk assessment, and growth optimization.
- Preprocess and engineer features from diverse datasets (logs, transactions, text) using Python and SQL.
- Optimize and validate models through experimentation (A/B testing, hyperparameter tuning) and robust performance metrics.

**Analytics & Optimization**
- Build dashboards and monitoring frameworks to evaluate model performance and user insights.
- Translate data into actionable visualizations and analytics that guide product, retention, and growth strategies.
- Maintain data dictionaries, documentation, and streamline pipelines for automation and scalability.
- Identify opportunities to improve processes, models, and decision-making through data-driven optimization.

**Collaboration & Best Practices**
- Partner with product, engineering, and business teams to deliver data-driven solutions.
- Communicate insights clearly to both technical and non-technical stakeholders.
- Stay current with emerging AI/ML and LLM techniques, sharing knowledge to foster innovation.

**Requirements**:
**Must-Have**
- Bachelor’s or higher in Data Science, Computer Science, Statistics, or related field (PhD preferred).
- Proficiency in Python with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM libraries (Hugging Face, LangChain).
- Strong SQL skills for large-scale data analysis.
- Expertise in ML algorithms, deep learning, and LLM fine-tuning (RAG, MCP, PEFT).
- Familiarity with agile development and CI/CD workflows.
- Ability to translate complex analysis into clear business insights.
- Proactive,detail-oriented, and eager to learn.

**Nice-to-Have**
- Experience in user modeling, recommendations, retention, or growth analytics (gaming, e-commerce, finance).
- Hands-onexpertise in advanced LLM fine-tuning (RAG, MCP, PEFT).
- Knowledge of distributed systems (Hadoop, Spark, Hive).
- Proficiency with visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
- Experience deploying ML/AI solutions in production.
- Cloud experience (AWS, GCP, Azure, Alibaba Cloud).

**What We Offer**
- Access to large-scale datasets and cutting-edge AI/ML projects (RAG, MCP, PEFT).
- A high-impact role shaping product direction and business growth.
- Collaboration with talented data scientists and engineers in a dynamic environment.
- Competitive compensation, flexible work arrangements, and an inclusive culture.

**How to Apply**

**数据科学家**

**工作地点：**新加坡
**汇报对象：**数据科学主管

**职位概述**

我们是一家快速成长的新加坡软件企业，由资深 IT 专家创立，专注于 CRM 和定制化软件解决方案。随着业务扩展，我们正在加强数据能力，以推动创新与业务增长。

作为一名 **数据科学家**，你将与数据科学主管紧密合作，设计、训练和部署先进的机器学习（ML）、深度学习及大语言模型（LLM）。你的工作将直接支持用户行为建模、留存优化、个性化推荐、风险管理和增长策略等关键业务。

**主要职责**

**AI/ML**
- 开发和部署机器学习、深度学习及 LLM 模型，用于行为预测、留存、推荐、风险评估和增长优化。
- 使用 Python 和 SQL 对多样化数据（日志、交易、文本等）进行预处理和特征工程。
- 通过实验（如 A/B 测试、超参数调优）和严谨指标验证，优化模型性能与可扩展性。

**分析与优化**
- 搭建仪表盘和监控框架，用于评估模型表现和用户洞察。
- 将数据转化为可操作的可视化和分析结果，支持产品、留存与增长决策。
- 维护数据字典和文档，优化并自动化数据管道以提升效率和可扩展性。
- 挖掘数据驱动的机会，持续改进流程、模型与业务决策。

**协作与最佳实践**
- 与产品、工程及业务团队紧密合作，提供数据驱动的解决方案。
- 将复杂的技术成果清晰地传达给技术和非技术团队。
- 遵循敏捷开发、CI/CD 和版本管理等最佳实践。
- 持续关注 AI/ML 与 LLM 前沿技术，分享知识并推动团队创新文化。

**任职要求**

**必备条件**
- 数据科学、计算机科学、统计学或相关领域本科及以上学历（博士优先）。
- 精通 Python，熟练掌握 ML/DL 框架（TensorFlow、PyTorch、Scikit-learn）及 LLM 库（Hugging Face、LangChain）。
- 熟练使用 SQL 进行大规模数据处理与分析。
- 深入理解机器学习算法、深度学习及 LLM 微调（RAG、MCP、PEFT）。
- 熟悉敏捷开发流程与 CI/CD 工作方式。
- 能将复杂的分析转化为清晰的业务洞察。
- 积极主动、注重细节，具备持续学习能力。

**加分条件**
- 在用户建模、推荐、留存或增长分析（游戏、电商、金融等领域）有相关经验。
- 熟悉 LLM 高级微调方法（RAG、MCP、PEFT），应用于 NLP 或推荐系统。
- 了解分布式系统（Hadoop、Spark、Hive）。
- 熟练使用可视化工具（Tableau、Power BI、Matplotlib、Seaborn）。
- 有将 ML/AI 模型部署到生产环境的经验。
- 有云平台（AWS、GCP、Azure 或阿里云）经验。

**我们提供**
- 接触大规模数据集与前沿 AI/ML 项目的机会（RAG、MCP、PEFT）。
- 高影响力岗位，直接塑造产品方向与业务增长。
- 与优秀数据科学家和工程师合作，在充满活力的环境中成长。
- 具有竞争力的薪酬、灵活的工作安排和多元包容的企业文化。

**应聘方式