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Machine Learning and Data Science Innovator

3 weeks ago

Singapore beBeeData Full time $80,000 - $120,000
Job Title:
Data Engineer for Machine Learning

As a Data Engineer for Machine Learning, you will be responsible for designing, training, deploying, and maintaining machine learning models across multiple products.


Your primary tasks will include:
  • Building models to predict clinical trial outcomes
  • Extracting insights from structured and unstructured healthcare data
  • Supporting real-time scoring for sales or market access scenarios

Your key responsibilities will involve:
  • Developing and optimizing predictive models using algorithms like XGBoost, Random Forest, Logistic Regression, and ensemble methods
  • Engineering features from real-world healthcare data
  • Analyzing datasets from various sources
  • Building end-to-end ML pipelines
  • Ensuring model explainability and robustness
  • Validating models against real-world outcomes
  • Preparing clean datasets
  • Communicating insights clearly to relevant teams

Required skills and qualifications:
  • Strong programming abilities in Python
  • Experience with statistical modeling and classification algorithms
  • Solid understanding of feature engineering, model evaluation, and validation techniques
  • Experience with healthcare data, unstructured data, and cleaning techniques
  • Knowledge of SQL and NoSQL databases
  • Familiarity with ML lifecycle tools

Bonus qualities:
  • Experience in healthcare modeling
  • Published work in data science
  • Strong business intuition for product decisions

About the role:
The interview process will begin with a technical round with the Head of Engineering. To apply, click on 'Apply' on our portal, complete the Screening Form, and upload your updated resume.

Benefits:
Our aim is to make hiring reliable, simple, and fast. We support talents in finding relevant contractual onsite opportunities and assist with any engagement challenges.