NodeFlair | Data Scientist

4 days ago


Singapore NodeFlair Full time

We are working with a tech company, and as part of their continued growth, NodeFlair has been engaged to search for Data Scientist to join their Singapore team.
Data Scientist Digital Health & Sensor Data Analytics
We are looking for a Data Scientist with expertise in sensor data analytics to drive insights from clinical study data and develop algorithms for digital health applications.
Key Responsibilities:
Collaborate with customers to analyze clinical study data, develop hypotheses, and test them.
Build machine learning models for sensor data (e.g., accelerometers, heart rate monitors) and create novel clinical digital measures.
Perform time-series analysis, signal processing, and preprocessing tasks like noise reduction and synchronization.
Validate model accuracy and scalability for real-time sensor data streams.
Present findings through reports, visualizations, and stakeholder communication.
Partner with cross-functional teams to implement data-driven solutions.
Requirements:
Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
3+ years of experience in data science, particularly sensor data or digital health.
Proficient in time-series analysis, signal processing, and tools like Python, R, TensorFlow, or PyTorch.
Hands-on experience with big data platforms (e.g., Hadoop, Spark) and cloud environments.
Strong problem-solving, analytical, and communication skills.
Preferred Qualifications:
Familiarity with AWS, Azure, or similar cloud platforms and data pipelines.
Experience in healthcare or clinical trials, including regulatory workflows.
Proven ability to scale algorithms for production environments.
This role offers a chance to innovate at the intersection of data science and healthcare.
Interested applicants, please contact Ayla at for a confidential discussion.
EA License No: 19S9830
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