Data Scientist Jobs

Data Scientist

Ryz Labs

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Category:
IT - Software Development

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Not provided

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Not provided

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Job Responsibility:

Data Ingestion and Cleaning: Develop robust pipelines for ingesting data from various wearable sensors and health apps, focusing on time series physiological data. Ensure data quality through cleaning and preprocessing steps, including handling missing data, normalization, and labeling based on event timestamps
Time Series Analysis: Apply advanced time series analysis techniques to understand physiological patterns and detect anomalies related to stress. Collaborate with domain experts to ensure the biological relevance of the developed models
Stress Detection and Characterization: Design and implement algorithms to detect and characterize stress levels from time series biomarkers and wearable data. Integrate stress detection models to provide real-time insights and recommendations
Prototype Development: Create a functional prototype for stress detection and management, integrating AI/ML models with web or mobile applications. Test and validate the prototype using training data sets or real-world data, iterating based on feedback and performance metrics
Collaboration and Reporting: Work closely with the startup founder to align on project goals and deliverables. Prepare and present progress reports, findings, and recommendations

Requirements:

5+ years of experience in data science, machine learning, and AI model development
Proven experience with data ingestion, cleaning, and labeling, particularly with timestamped event data
Experience in developing and validating AI/ML algorithms, particularly for health applications (e.g. stress detection) and data characterization
Strong background in handling and analyzing biomarker and wearable sensor data, with a focus on time series data
Master's or PhD in Computer Science, Data Science, Machine Learning, Statistics, or a related field
Expertise in time series analysis and techniques for physiological data from health apps and sensors
Knowledge of data visualization tools and techniques

Additional Information:

Job Posted:
December 11, 2025

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