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Jobs in Singapore   »   Jobs in Singapore   »   Information Technology Job   »   Data Scientist
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Data Scientist

Primestaff Management Services Pte Ltd

Primestaff Management Services Pte Ltd company logo

Our client, one of the leading global banks is seeking a highly skilled and motivated Data Scientist to join their team. As a Data Scientist, you will be responsible for developing, training, and deploying machine learning models in an end-to-end capacity. The ideal candidate will have strong programming skills, experience with machine learning frameworks like TensorFlow and PyTorch, and a deep understanding of statistics and deep learning techniques.

Key Responsibilities:

  • Develop, train, and deploy machine learning models from concept to production.
  • Work with data integration, profiling, validation, and cleansing processes to ensure high data quality.
  • Collaborate with cross-functional teams to identify and solve business problems using data-driven approaches.
  • Implement machine learning models using TensorFlow and PyTorch and deploy them into production.
  • Conduct data analysis using Python to identify trends, insights, and patterns in large datasets.
  • Validate models for accuracy and optimize them for performance in production environments.
  • Perform data profiling to understand data quality, structure, and anomalies.

Key Requirements:

  • Degree in Computer Science or related disciplines
  • Strong programming skills in Python.
  • Proven experience in developing and deploying machine learning models end-to-end.
  • Familiarity with machine learning frameworks such as TensorFlow and PyTorch.
  • A solid understanding of basic statistics and deep learning techniques.
  • Experience with data integration, data profiling, data validation, and data cleansing.
  • Ability to work effectively in a team-oriented, collaborative environment.
  • Strong analytical mindset with problem-solving skills.
  • Ability to communicate complex data findings clearly and concisely.
  • Experience working with cloud-based platforms and services.

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