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.
• Apply best practices in agile development, CI/CD, and version control.
• 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

Send your resume, cover letter, and portfolio (e.g., GitHub, Kaggle) to . We welcome applicants from diverse backgrounds and look forward to your application.

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