Data Scientist
Skills
About the role
About Universal Health
Universal Health equips higher education institutions with passive sensing solutions that identify wellbeing risks earlier, intervene sooner, and reduce avoidable cost and harm at scale, all without relying on self-reported data.
W3LL by Universal Health is powered by our proprietary Behavioural Rhythm Engine™ (BRE), which comprises turning behavioural and physiological signals into the user's state of mind and energy levels to explain the why behind their actions.
About the role
Specialty: Healthcare
Seniority: Mid (Min. 3 years’ experience)
Required skills
Strong proficiency in Python for data analysis and machine learning development.
Solid SQL skills for querying, transforming, and analysing large datasets.
Experience with Pandas, NumPy, Scikit-learn, and common Python data science libraries.
Understanding of statistics, probability, hypothesis testing, and experimental design.
Experience building, evaluating, and improving machine learning models for classification or regression problems.
Familiarity with feature engineering, model validation, hyperparameter tuning, and performance evaluation.
Experience working with time-series, behavioural, wearable, sensor, or health-related datasets is highly desirable.
Experience with data visualisation tools such as Matplotlib, Seaborn, Plotly, or Power BI/Tableau.
Familiarity with Git and collaborative software development workflows.
Nice to Have
Experience with healthcare, digital health, mental health, or wearable devices.
Experience with cloud platforms (Azure, AWS, or GCP).
Knowledge of MLOps, model deployment, or model monitoring.
Experience with deep learning frameworks such as PyTorch or TensorFlow.
Data Collection & Preparation
Collect, clean, and preprocess structured and unstructured data from multiple sources.
Design and maintain datasets used for machine learning model training and evaluation.
Perform exploratory data analysis (EDA) to identify trends, anomalies, and data quality issues.
Machine Learning & Model Validation
Develop, train, validate, and improve predictive models using Python.
Design feature engineering pipelines to improve model performance.
Evaluate models using appropriate validation techniques and performance metrics.
Analyse model outputs and recommend improvements based on business and clinical objectives.
Support continuous model validation using newly collected production data.
Product & Research Collaboration
Work closely with Product Managers, Software Engineers, and Researchers to translate product requirements into data-driven solutions.
Support pilot studies and clinical validation by preparing datasets and analysing study results.
Help define success metrics and experiment methodologies for new product features.
Data Quality & Analytics
Develop data quality checks and validation processes to ensure reliability and consistency.
Create dashboards, reports, and visualisations to communicate insights effectively.
Present findings clearly to both technical and non-technical stakeholders.
Pay: $5,500.00 - $8,000.00 per month
Experience:
Data science: 2 years (Required)
Work Location: In person
Compensation
This Data Scientist role pays $66k-$96k/yr. Within typical range for data scientist roles in Singapore.
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