Data Scientist

Company OverviewHeadquartered 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 SummaryAs 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.ResponsibilitiesLead and contribute to strategic data science projects by selecting and implementing algorithms to solve high-impact business problemsEnsure the accuracy, efficiency, and integrity of data science solutions developed by your teamImprove team workflows, processes, and technical methods to elevate overall project quality and adherence to best practicesReview peer work to maintain high standards and consistency across deliverablesCollaborate with IT and business stakeholders to co-create valuable, data-driven solutions aligned with organizational goalsApply MLOps frameworks to manage end-to-end model development and deployment in cloud environments such as AWSDesign 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 LangGraphPerform data engineering tasks for data science projects, including ELT processes, structured data transformation, and database managementCommunicate complex data insights effectively through visualization and clear reportingDevelop and maintain robust programming solutions using Python, R, SQL, and Shell scriptingPreferred competencies and qualificationsBachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative fieldsMinimum 3 years of active data science experience with reputable employersProficiency in structured problem-solving frameworks such as MECE and root cause analysisExperience with multi-criteria decision analysis, optimization, and statistical modelingStrong collaboration skills to work effectively within diverse teams