Data Scientist

Company Overview

Headquartered in Singapore with offices in Malaysia, USA and India. Partners with multinational companies to deliver advanced technology and business process outsourcing solutions, focusing on customer satisfaction and long-term success in an ethical environment.

Job Summary

As a data scientist, you will solve complex business challenges by developing effective data-driven solutions and collaborating with cross-functional teams to deliver impactful results.

Responsibilities

• Lead and contribute to strategic data science projects by selecting and implementing algorithms to solve high-impact business problems
• Ensure the accuracy, efficiency, and integrity of data science solutions developed by your team
• Improve team workflows, processes, and technical methods to elevate overall project quality and adherence to best practices
• Review peer work to maintain high standards and consistency across deliverables
• Collaborate with IT and business stakeholders to co-create valuable, data-driven solutions aligned with organizational goals
• Apply MLOps frameworks to manage end-to-end model development and deployment in cloud environments such as AWS
• Design and execute deep learning algorithms and AI engineering techniques, including transformer models, reinforcement learning, neural embeddings, and GenAI system development using frameworks like LangChain and LangGraph
• Perform data engineering tasks for data science projects, including ELT processes, structured data transformation, and database management
• Communicate complex data insights effectively through visualization and clear reporting
• Develop and maintain robust programming solutions using Python, R, SQL, and Shell scripting

Preferred competencies and qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative fields
• Minimum 3 years of active data science experience with reputable employers
• Proficiency in structured problem-solving frameworks such as MECE and root cause analysis
• Experience with multi-criteria decision analysis, optimization, and statistical modeling
• Strong collaboration skills to work effectively within diverse teams