
Data Scientist
2 days ago
Algorithm Optimization:
Purpose of the Job
We are seeking a talented and experienced Data Scientist to join our innovative team working on a cutting-edge digital solution project. As a Data Scientist, you will play a key role in leveraging advanced analytics and machine learning techniques to derive actionable insights from a diverse set of data sources. The project aims to create a holistic representation of individuals' well-being, enabling personalized and proactive health interventions.
Key Responsibilities
Data Exploration and Preprocessing:
- Explore and analyze diverse datasets to identify relevant features for the project.
- Cleanse and preprocess raw data to ensure accuracy, completeness, and consistency.
Model Development:
- Design and implement machine learning models to predict and optimize wellness parameters.
- Collaborate with cross-functional teams to integrate models into the project framework.
Feature Engineering:
- Identify and create meaningful features that enhance the predictive power of models.
- Work closely with domain experts to incorporate relevant wellness indicators.
Algorithm Optimization:
- Fine-tune and optimize machine learning algorithms to improve model performance.
- Stay abreast of the latest advancements in data science and integrate relevant techniques.
Data Integration:
- Integrate data from various sources with comprehensive health information.
- Collaborate with data engineers to establish efficient data pipelines.
Validation and Testing:
- Implement rigorous testing protocols to ensure the accuracy and robustness of models.
- Validate model outputs against real-world wellness outcomes.
Collaboration and Communication:
- Work closely with interdisciplinary teams, including software developers, healthcare professionals, and user experience designers.
- Effectively communicate complex technical concepts to non-technical stakeholders.
Documentation:
- Document methodologies, algorithms, and results to facilitate knowledge sharing and project continuity.
- Contribute to the creation of technical documentation for end-users.
Requirements
- Master's (can be a student or took units) or Ph.D. in a relevant field such as Computer Science, Statistics, or Data Science.
- Proven experience in developing and deploying machine learning models, preferably in a healthcare or wellness context.
- Proficiency in programming languages such as Python or R.
- Strong background in statistical analysis and experimental design.
- Familiarity with data visualization tools and techniques.
- Excellent problem-solving and critical-thinking skills.
- Effective communication skills and the ability to work collaboratively in a team environment.
Preferred Skills
- Experience in handling, processing, and modeling health-related data.
- Knowledge of healthcare data standards and privacy regulations.
- Familiarity with cloud computing platforms and big data technologies.
- Previous work on projects related to precision medicine, personalized medicine, health monitoring, tracking, and assessment.
Salary
Employment status: Project-based, 8 to 12 months
Job Types: Full-time, Fixed term
Contract length: 8-10 months
Pay: Php60,000.00 per month
Benefits:
- Work from home
Application Question(s):
- Are you open to reporting face-to-face once or twice a week for a client meetings?
Work Location: Hybrid remote in Marikina
Expected Start Date: 10/20/2025
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