Data Scientist: ML for Tourism Analytics | Flexible Work

Singapore Tourism Board; Singapore; Presencial; SGD 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work arrangement

Wellness programmes

Family care leave

Descripción de la vacante

The Singapore Tourism Board is seeking a Data Scientist to collaborate with multidisciplinary teams to apply advanced analytics, build statistical and machine learning models, and translate business needs into practical analytical solutions that inform strategy for Singapore's tourism industry.

You will deploy models to production, monitor performance, document methodologies, and manage data science projects with stakeholders.

Formación

• 3–5 years of experience in developing, evaluating and implementing statistical and machine learning models to address real-world business problems.
• Demonstrated ability to manage data science projects and engage stakeholders.
• Strong analytical, critical thinking and problem-solving skills.
• Excellent written and spoken English.

Responsabilidades

• Translate complex business problems into data science objectives and select appropriate statistical/machine learning approaches.
• Develop, validate and operationalise statistical and ML models with robust evaluation methods.
• Collaborate with data engineers, DevOps and product teams to deploy models into production.
• Monitor model performance over time and maintain documentation and reproducibility.

Conocimientos

Python

SQL

AWS

MLOps

Statistics

Data preprocessing

Model deployment

Problem solving

Herramientas

Docker

Jupyter

Descripción del empleo

The Singapore Tourism Board is seeking a Data Scientist to collaborate with multidisciplinary teams to apply advanced analytics, build statistical and machine learning models, and translate business needs into practical analytical solutions that inform strategy for Singapore's tourism industry.

You will deploy models to production, monitor performance, document methodologies, and manage data science projects with stakeholders.