Data Scientist: Drive ML Models & Production Analytics

sggovterp; Singapore; Vor Ort; SGD 70.000 - 120.000; Vollzeit

Zusammenfassung

sggovterp in Singapore seeks a Data Scientist to collaborate with multidisciplinary teams and stakeholders, applying advanced analytics and machine learning to address strategic business challenges and support data-driven decisions. The role involves translating business needs into analytical solutions and producing production-ready models within existing platforms.

You will design, validate and deploy models using Python and SQL, work with data engineers and DevOps to operationalise solutions,

Qualifikationen

• Translate complex business problems into data science objectives and determine appropriate statistical and ML approaches.
• Design, develop and validate statistical and ML models to address business needs.
• Develop robust model validation and evaluation methods for performance, reliability and limitations.
• Preprocess data and engineer features for model development and evaluation.

Aufgaben

• Translate complex business problems into well-defined data science objectives and determine appropriate statistical and machine learning approaches to address them.
• Design, develop and implement statistical and machine learning models to address business needs, applying advanced data science techniques where appropriate.
• Develop and apply robust model validation and evaluation methods to assess model performance, accuracy, reliability and limitations, ensuring that models are fit for their intended purpose.
• Perform data exploration, preprocessing and feature engineering to prepare complex datasets for model development, training and evaluation.

Kenntnisse

Python for ML

SQL

Statistical modelling

Data exploration

Problem solving

Tools

AWS

MLOps

Production deployment

Jobbeschreibung

sggovterp in Singapore seeks a Data Scientist to collaborate with multidisciplinary teams and stakeholders, applying advanced analytics and machine learning to address strategic business challenges and support data-driven decisions. The role involves translating business needs into analytical solutions and producing production-ready models within existing platforms.

You will design, validate and deploy models using Python and SQL, work with data engineers and DevOps to operationalise solutions,