Junior Data Scientist

Application deadline date has been passed for this Job.
This job has been Expired
Full-Time
  • Post Date: August 10, 2020
Job Description

Responsibilities/ Daily tasks you will take care

  • Validate and translate business requirements into modelling context
  • Design, develop and deploy analytics and Machine Learning solutions according to the requirements from customer
  • Propose a feasible development timeline for the ML solutions
  • Develop, test and recalibrate analytics models/algorithms
  • Data analysis, insights and recommendations
  • Advanced analytics models/algorithms
  • Prepare business presentations to capture key findings and learnings
  • Help ensure the projects are delivered on time with acceptable level of quality
  • Support the implementation of the solution in production
  • Test the solutions developed using automated testing frameworks available in the market
  • Improvement of model accuracy and effectiveness

Outputs

  • Provide documentation of the technologies, software (including third party libraries, packages, etc.), tools, methodologies, and algorithm used along with a detailed description explaining the choices made
  • Provide Data dictionary for every attribute used and considered for model-building and a detailed documentation of the steps taken for feature engineering
  • Provide the source code for data preparation, feature engineering, model building, model selection, model validation, model interpretation and model scoring, with comments and explanation for easy traceability and maintainability

Requirements/ Desired skills and experience

  • Experience in implementing ML models with proven results – ideally in Insurance or Banking
  • Familiar with Python and its packages – Numpy, Pandas, Scikitlearn, TensorFlow, PyOD, or Keras
  • Working location: Hong Kong

CONTACT

Interested candidates should click Apply button submit a completed Curriculum Vitae/ Resume and Cover Letter to:

Recruitment Department – FPT Software Workforce Development

Contact Person        : Ms. Nguyen Thi Phuong Dung

Email                          : [email protected]