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Data Scientist – AI/ML-Powered Solutions Development

SpringCube

Full time - Senior Associate/ Asst Manager

Healthcare Services & Tech

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Data Scientist – AI/ML-Powered Solutions Development

Company Overview
This organization is committed to pioneering innovative healthcare solutions that empower individuals to live healthier, higher-quality lives. Their cloud-connected medical devices and out-of-hospital software platforms enable better care, improve quality of life, and reduce the impact of chronic diseases across more than 120 countries. They focus on improving patient outcomes, enhancing operational efficiency, and delivering cutting-edge AI and ML-powered software solutions.

Job Description
As a Data Scientist, you will contribute to applied research and development in areas such as machine learning (ML), artificial intelligence (AI), biomedical informatics, and operations research. Your work will support the development of diagnostic and therapeutic applications for managing sleep disorders, chronic obstructive pulmonary disease (COPD), and other chronic diseases. Responsibilities include:

Responsibilities:

  • Researching, developing, and customizing statistical and ML algorithms to address complex challenges.
  • Conducting big data analysis to explore and evaluate data-driven solutions.
  • Applying best practices for scientific rigor and ensuring code scalability.
  • Drafting documentation for algorithms, intellectual property, and technical publications.
  • Staying updated on industry trends and regulatory requirements (e.g., FDA mandates).
  • Deploying and monitoring ML models in production using innovative AI/ML cloud platforms.
  • Communicating insights effectively to diverse stakeholders and leaders.

Qualifications and Experience:

  • Strong knowledge of machine learning theories and data mining methods.
  • Proficiency in training, deploying, and monitoring models, including exploratory data analysis and feature engineering.
  • Solid foundation in statistical methods (e.g., hypothesis testing, probability, time series).
  • Proficient in Python programming and implementing scalable code.
  • Hands-on experience with AWS (e.g., EC2, SageMaker, S3) and handling large, distributed datasets (e.g., Hadoop, Spark).
  • Expertise in database management, including SQL.
  • Master’s or Ph.D. in Data Science, Computer Science, Math, Physics, Biomedical Informatics, Operations Research, or a related quantitative field.
  • Preferred: 3+ years of experience in data science in an industry or academic setting.

Disclaimer:
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.