Job Title: Data Scientist
Location: Singapore
About Us: My client is a leading innovator in the health technology space, dedicated to revolutionizing healthcare through data-driven solutions. We leverage cutting-edge technologies to improve patient outcomes, streamline healthcare processes, and enhance the overall healthcare experience. Our mission is to empower healthcare providers, researchers, and patients with actionable insights derived from data.
Position Overview:
As a Data Scientist at [Health Tech Company Name], you will play a pivotal role in transforming healthcare through advanced analytics and machine learning techniques. You will collaborate closely with cross-functional teams to develop and deploy data-driven solutions that drive positive impact in the healthcare ecosystem.
Key Responsibilities:
Data Analysis and Modeling: Utilize advanced statistical and machine learning techniques to extract valuable insights from large healthcare datasets.
Algorithm Development: Design and implement algorithms to address specific healthcare challenges, such as predictive analytics, anomaly detection, and recommendation systems.
Feature Engineering: Identify and engineer relevant features from complex healthcare data sources to enhance model performance.
Collaborative Problem Solving: Work closely with healthcare professionals, engineers, and product managers to understand domain-specific challenges and devise data-driven solutions.
Model Validation and Performance Monitoring: Establish rigorous testing and validation procedures to ensure the accuracy, reliability, and robustness of developed models.
Data Integration and Cleaning: Process, clean, and integrate diverse healthcare datasets from various sources for analysis and modeling.
Visualization and Reporting: Communicate findings and insights effectively to both technical and non-technical stakeholders through clear visualizations and reports.
Research and Innovation: Stay updated on the latest advancements in data science and healthcare technology to bring innovative solutions to the company.
Qualifications:
Master's or PhD in Data Science, Computer Science, Statistics, or a related field.
Proven experience in applying advanced machine learning techniques to real-world problems, preferably in the healthcare domain.
Proficiency in programming languages such as Python and proficiency in relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Strong understanding of healthcare data standards, privacy regulations (e.g., HIPAA), and experience working with healthcare datasets.
Excellent problem-solving skills and ability to work independently and as part of a collaborative team.
Effective communication skills and ability to translate complex technical concepts to non-technical stakeholders.
Experience with cloud platforms (e.g., AWS, Google Cloud) and knowledge of big data technologies is a plus.
Benefits:
Competitive salary and performance-based bonuses.
Health insurance and wellness programs.
Continuous learning and development opportunities.
Flexible work arrangements
Apply my submitting your CV to this advert and I will be happy to have a chat.
