Senior Data Scientist (Medtech)

TL;DR

Senior Data Scientist (Medtech): Developing advanced physiological feature pipelines and biomarker analytics for wearable health data with an accent on multimodal data fusion and deep learning. Focus on building scalable data analytics tools, leading data collections, and driving strategic roadmap initiatives for health-tech innovation.

Location: Must be based in Finland (Helsinki or Oulu)

Company

hirify.global is a health-tech company empowering individuals to improve their health and well-being through award-winning wearable technology and actionable insights.

What you will do

• Contribute to the development of human physiology-based features and sensor technology.
• Transform multi-sensor data into actionable health metrics using state-of-the-art methodologies.
• Develop reusable data analytics tools for deployment at scale.
• Refine the team’s strategic roadmap and align initiatives with organizational goals.
• Lead data collection efforts, author scientific reports, and present findings to stakeholders.
• Collaborate cross-functionally with distributed global teams.

Requirements

• 6+ years of professional experience in Data Science, specifically with sparse real-world data and wearable technology.
• Deep proficiency in Python and a strong background in developing deep learning and multimodal data fusion for sequential data.
• Expertise in forecasting models, optimization, statistical analysis, and simulation.
• Advanced degree (Masters/PhD) in a STEM field or equivalent practical experience.
• Strong technical command of AWS, SQL, and PyTorch.
• Excellent written and verbal communication skills for technical and non-technical stakeholder engagement.

Culture & Benefits

• Competitive salary package.
• Lunch and wellness benefits.
• Flexible working hours to support work-life balance.
• Access to the latest hirify.global Ring technology.
• Opportunity to work in a collaborative, research-driven environment.