Data Scientist (SG) - Healthtech AI

Join an exciting team which was founded in 2016, where a team of data scientists and technologists came together with one mission; to use data ethically to solve real world problems and improve lives. By creating the most advanced artificial intelligence capable of making accurate predictions years into the future, the company aims to apply its predictive engine to all aspects of the healthcare industry, to help patients, providers, caregivers and payers manage patients throughout the lifecycle of their diseases at lower costs.

We seek to hire a Data Scientist to support the CTO and complement our team of seasoned data scientists and engineers.

RESPONSIBILITIES 


  • Implement new statistical or other mathematical methodologies and devise possible solutions from data analytics as needed for specific projects.

  • Collaborate with third parties to research and develop statistical learning models for data analysis.

  • To deploy an in-house data platform and operationalize analytic models on it.

  • To take ownership and lead development role on the current end-to-end technology stack (back-end) and scale to enterprise level.

  • Communicate results and ideas to key decision makers (CTO and business sector).

  • To guide and collaborate with data engineer and oversee the project progress.

REQUIREMENTS  

  • Min. Master’s Degree in Computer Science, Statistics, Applied Math or related fields

  • 5+ years of practical experience with ETL, data processing and data analytics

  • Proficiency and hands-on experience in machine learning, including data mining, statistical analysis, pattern recognition and predictive modeling.

  • Extensive experience in software development cycles and excellent programming skill with scripting languages e.g. Python, Java, Scala, R.

  • Familiar with state-of-the-art big data technologies, e.g. Apache Hadoop, Spark, Kafka, MongoDB, lambda architecture. Prior experience with AWS framework is preferred.

  • Background in medical sciences an asset.

  • Prior startup or entrepreneurial experience would be a bonus. 

 

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