You will lead the machine learning and data science strategy for a pioneering health platform. By leveraging unique longitudinal datasets and integrated diagnostic data, you will build predictive models and AI systems from the ground up. This 0-to-1 leadership role involves driving technical innovation to transform complex physiological data into personalized insights.
Head of Machine Learning & Data Science at well-funded healthtech startup
This well-funded healthtech startup is seeking a Head of Machine Learning & Data Science to lead their AI strategy from the ground up. You will work with unique longitudinal health data, building computer vision and predictive models that directly impact user outcomes. If you are a builder with 8+ years of experience and a passion for 0-to-1 leadership, this is your chance to shape a category-defining company. You will own the technical roadmap, mentor a growing team, and bridge the gap between deep research and production-ready products in a mission-driven environment that values scientific rigor and rapid innovation.
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Location
Stockholm, Sweden
Compensation
Not Disclosed + Equity
Company
Confidential company
Role overview
About the company
Well-funded healthtech startup
What you will do
- Develop and deploy production-grade models across computer vision, time-series forecasting, and natural language processing to enhance core platform capabilities and diagnostic accuracy.
- Architect scalable data pipelines and ML infrastructure on cloud platforms while establishing rigorous standards for experimentation, model evaluation, and data integrity.
- Partner with cross-functional leadership to identify high-value data opportunities and develop strategic research collaborations with external healthcare and academic institutions.
Who this is a fit for
- Possesses 8+ years of hands-on ML/DS experience with a proven history of scaling models from initial research to global production environments in a startup setting.
- Demonstrates deep technical proficiency in Python, SQL, and modern AI architectures, including computer vision, object detection, and Large Language Model applications.
- Shows previous experience leading technical teams and working with complex biological or physiological datasets, ideally within the healthtech or wearable technology sectors.
Why this role is remarkable
- Take full ownership of the ML function, building a world-class team and defining the technical roadmap from the ground up for a high-growth platform.
- Leverage a unique, high-fidelity longitudinal dataset that offers unprecedented opportunities for scientific discovery and the development of novel product features.
- Join a well-funded seed-stage startup backed by top-tier VCs at a critical phase of expansion, offering significant influence over the company’s long-term technology strategy.
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