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Data Scientist (Machine Learning)

6,000 SGD · period not specifiedSingapore, SGScore 65/1006d ago
Market insights
📊 AI / ML / Data Science: salaries and demand on the market
Stack
DashboardsValidationData PipelineMathematicsClassificationModel EvaluationPredictive Analyticsrequirements from stakeholdersComputer ScienceFeature EngineeringStructured data analysisStatistics
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Description
About the Role We are seeking a Data Scientist (Machine Learning) to develop and deploy advanced analytics and machine learning solutions that support business operations and digital transformation initiatives. The successful candidate will work closely with cross-functional teams to analyze large datasets, build predictive models, and deliver actionable insights to improve operational efficiency and business performance. Key Responsibilities • Develop, train, validate, and deploy machine learning models for predictive analytics and optimization. • Analyze structured and unstructured datasets to identify trends, patterns, and business opportunities. • Design and implement data pipelines for data collection, cleansing, feature engineering, and model training. • Build forecasting, classification, regression, clustering, and anomaly detection models. • Collaborate with business stakeholders to understand requirements and translate them into data-driven solutions. • Evaluate model performance and continuously improve model accuracy and reliability. • Develop dashboards and reports to communicate insights and recommendations. • Work with data engineers to integrate machine learning models into production systems. • Ensure data quality, governance, and compliance with organizational standards. • Research and evaluate new machine learning algorithms and emerging technologies. Requirements • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Eng
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