TL;DR

Senior Data Scientist (Data Science/ML): Developing advanced physiological feature pipelines and biomarker analysis using wearable health data with an accent on multimodal data fusion, deep learning, and forecasting models. Focus on designing scalable data analytics tools, leading scientific research, and collaborating across teams in a hybrid environment.

Location: Hybrid in Helsinki, Uusimaa and Oulu, North Ostrobothnia, Finland

Company

%hirify_global% develops wearable health technology products focused on improving readiness, activity, and sleep quality through data-driven insights.

What you will do

Develop new human physiology features and sensor technology for wearable data.
Transform multi-sensor data into actionable health metrics using advanced data science methods.
Create reusable, scalable data analytics tools.
Drive strategic roadmap development and align projects with organizational goals.
Lead data collection efforts and produce scientific reports and publications.
Collaborate with cross-functional and international teams.

Requirements

Must have 6+ years experience in data science with wearable or sparse real-world data.
Proficiency in Python and deep learning frameworks like Pytorch.
Experience with forecasting, optimization, statistical analysis, and simulations.
Advanced degree in STEM or equivalent experience.
Expertise in AWS, SQL, GitHub, and project management.
Excellent communication skills for technical and non-technical audiences.

Nice to have

Clinical research expertise around health data.
Experience working in ambiguous problem spaces with creative algorithm development.

Culture & Benefits

Competitive salary and wellness benefits.
Lunch benefit and flexible working hours.
Personal learning and development programs.
Collaborative and smart teammates.
Company provides an Oura ring.