Wearable Health Data Scientist Intern

Vilo; United States; On-site; USD 17,000 - 28,000; Full time

Job summary

Vilo is seeking a Data Analyst or Software Engineer intern to work on wearable health data, time-series modeling, and AI-powered personal health experiences. You’ll help build foundations to convert raw wearable signals into useful, personalized insights.

You’ll collaborate with product, hardware, algorithm, and design teams to turn research ideas into product features, while developing data pipelines, dashboards, and ML baselines for health prediction tasks.

Qualifications

• Proficient in Python with pandas/NumPy/SQL for data analysis.
• Basic knowledge of statistics, ML, or time-series analysis.
• Ability to write clean, reliable code and communicate findings clearly.

Responsibilities

• Process and analyze wearable sensor data (heart rate, HRV, SpO₂, temperature, activity, sleep).
• Build data pipelines for time-series ingestion, validation, feature extraction, and visualization.
• Develop dashboards and tools to understand user behavior, sensor quality, trends, and anomalies.
• Train and compare baseline ML models for health-related prediction tasks.
• Prototype AI health-agent experiences using wearable data.
• Collaborate with product, hardware, algorithm, and design teams to turn research ideas into product features.

Skills

Strong Python skills

Pandas

NumPy

SQL

Code quality

Communication

Tools

PyTorch

JAX

TensorFlow

scikit-learn

LLMs

Job description

Vilo is seeking a Data Analyst or Software Engineer intern to work on wearable health data, time-series modeling, and AI-powered personal health experiences. You’ll help build foundations to convert raw wearable signals into useful, personalized insights.

You’ll collaborate with product, hardware, algorithm, and design teams to turn research ideas into product features, while developing data pipelines, dashboards, and ML baselines for health prediction tasks.