Senior Data Scientist Senior Data Scientist …

Cornerstone Global Partners
in Singapore
Permanent, Full time
Last application, 19 Jul 21
15,000
Cornerstone Global Partners
in Singapore
Permanent, Full time
Last application, 19 Jul 21
15,000
Posted by:
Elise Wong • Recruiter
Posted by:
Elise Wong
Recruiter

As part of the role your responsibilities include:

  • Coordinate with Business Users, Product Owners, Business Engineers, and technology team to understand data analysis requirements. Lead Data Analysis and responsible for all Data related capabilities.
  • Responsible to translate business requirements to AI/ ML based solution.
  • Experience in building end to end model including with direct business impact data cleaning, data analytics, features engineering, model selection, ensemble methods, performance metrics, and visualization.
  • Proven track record in designing, developing and deploying Machine Learning models that created business impact
  • Coordinating on projects requiring data integration and science skills, connecting bank-wide datasets
  • Working with teams from different business function and divisions to solve complex machine learning problem
  • Responsible to ensure that AI/ ML solutions meets bank-wide ML modelling guidelines and standards

Requirements: 

  • Excellent academic background with advanced degree in Computer Science, Engineering, Mathematics, Statistics or related Field.
  • Relevant experience in data, AI/ML modelling related capabilities.
  • Solid programming skills in Python, R or Java with integrated data science, engineering and development background. Solid grasp and experience of working with SQL
  • Experience of working with ML frameworks like TensorFlow, Pytorch, Keras, ScikitLearn, XGBoost, SparkML or similar.
  • Proficient in general NN models like SVM, random forest, decision tree, neural networks, GLM.
  • Partner management experience is required to effectively gather the requirements and handle the delivery of data science outcomes
  • Proficient in investment banking domain, and financial services products/ customer data will be an advantage.
  • Proficient in agile development practices
  • Understanding of parallel capabilities on the cloud (AWS, GCP, Azure) is highly desirable
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