Data Scientist

Data Scientist Important Information Location: Singapore 12 months contract Job Summary We are seeking a highly skilled and motivated Data Scientist / Senior Data Scientist to join our growing AI and Analytics team. The ideal candidate will have strong expertise in machine learning, deep learning, Generative AI, statistical modeling, and cloud-based MLOps. You will work on designing, developing, deploying, and optimizing AI-driven solutions that solve complex business problems while collaborating with cross-functional teams to deliver high-impact data products. Key Responsibilities Design, develop, validate, and deploy machine learning and deep learning models for business applications. Build and maintain end-to-end AI/ML pipelines, from data acquisition and feature engineering to model deployment and monitoring. Develop Generative AI applications using Large Language Models (LLMs), embeddings, vector databases, and agentic AI frameworks. Implement AI solutions using frameworks such as LangChain, LangGraph, and other modern AI engineering tools. Apply advanced statistical modeling, optimization techniques, and multi-criteria decision analysis to solve complex business challenges. Develop transformer-based models, reinforcement learning solutions, and other state-of-the-art deep learning architectures where appropriate. Collaborate with data engineering teams to design and optimize ELT pipelines, data transformations, and scalable data architectures. Deploy and manage machine learning models on cloud platforms, preferably AWS, following MLOps best practices. Perform exploratory data analysis, hypothesis testing, feature engineering, and model evaluation. Create clear visualizations, dashboards, and presentations to communicate analytical findings to technical and business stakeholders. Ensure model governance, performance monitoring, and continuous improvement of deployed AI systems. Mentor junior team members and contribute to the adoption of AI and data science best practices. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline. Minimum 3 years of hands-on experience in Data Science with a reputable organization. Strong analytical and problem-solving skills with experience using structured frameworks such as MECE, Root Cause Analysis, and hypothesis-driven approaches. Proven experience in end-to-end machine learning model development, deployment, and monitoring using MLOps practices. Strong experience with cloud-based ML deployment, preferably on AWS. Deep understanding of machine learning, deep learning, optimization, statistical modeling, and predictive analytics. Hands-on experience with transformer models, reinforcement learning, and modern deep learning architectures. Strong experience in AI Engineering, including: Large Language Models (LLMs) Neural embeddings Retrieval-Augmented Generation (RAG) LangChain LangGraph Vector databases Enterprise Document/Data (EDD) solutions Experience in data engineering concepts including ELT pipelines, structured data transformation, and database technologies. Strong programming skills in: Python R SQL Shell Scripting Experience with Python data science frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and related libraries. Excellent communication, presentation, and data visualization skills. Strong collaboration skills with the ability to work effectively in cross-functional teams. Preferred Qualifications Experience with CI/CD pipelines for ML applications. Knowledge of containerization technologies such as Docker and Kubernetes. Experience with ML monitoring, model governance, and production model lifecycle management. Familiarity with distributed computing frameworks such as Spark. Experience working in Agile/Scrum environments. Relevant certifications in AWS, Machine Learning, or Data Science are an advantage. About Encora Encora is a global company…