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 that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.