Applied Data Scientist

Newbridge; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology firm in Singapore is seeking an experienced Applied Data Scientist to develop and deploy machine learning models aimed at driving business growth and improving operational efficiency. The ideal candidate will work collaboratively with cross-functional teams to tackle business problems, while also focusing on model optimization and maintenance. Proficiency in programming, machine learning frameworks, and cloud technologies is essential for this role.

Qualifications

• Proficiency in programming languages such as Python or Scala.
• Experience with machine learning algorithms and frameworks like scikit-learn or TensorFlow.
• Familiarity with model deployment tools such as Docker or Kubernetes and cloud services.

Responsibilities

• Develop and train machine learning models.
• Deploy models in production environments and ensure scalability.
• Monitor and maintain models for accuracy.
• Continuously optimize models to meet business needs.
• Collaborate with cross-functional teams to integrate models.

Skills

Proficiency in Python/Scala

Experience with machine learning algorithms

Familiarity with model deployment tools

Experience with cloud-based technologies

Job description

We're seeking an experienced Applied Data Scientist to join our clients team. As an Applied Data Scientist, you will develop and deploy machine learning models to drive business growth and improve operational efficiency. You will work closely with cross-functional teams to identify business problems, develop predictive models, and integrate them into business operations.

Key Responsibilities:

• Model Development: Develop and train machine learning models using various algorithms and techniques.
• Model Deployment: Deploy models in production environments, ensuring scalability, reliability, and performance.
• Model Maintenance: Monitor and maintain models, ensuring they remain accurate and effective.
• Model Optimization: Continuously optimize and refine models to improve performance and adapt to changing business needs.
• Collaboration: Work closely with data engineers, product managers, and other stakeholders to integrate models into business operations.
• Technical Documentation: Document model development, deployment, and maintenance processes.

Requirements:

Technical Skills:

• Programming: Proficiency in languages such as Python/Scala.
• Machine Learning: Experience with machine learning algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Model Deployment: Familiarity with model deployment tools and platforms (e.g., Docker, Kubernetes, AWS SageMaker).
• Cloud Experience: Experience with cloud-based technologies (e.g., AWS, Azure, Google Cloud).