Data Science Pod Lead: Production ML & People Leadership

Neko Health; Stockholms kommun; On-site; SEK 1,100,000 - 1,500,000; Full time

Job summary

Neko Health is seeking a Data Science Pod Lead to build and scale production-grade ML models from sensor data while mentoring a pod of data scientists. You will shape the technical direction, set coding standards, and ensure robust validation and deployment into our backend.

You will collaborate with hardware engineers, clinicians, and researchers to translate complex health data into validated decision-support tools that improve patient outcomes.

Qualifications

• MSc or PhD in Machine Learning, Computer Science, Physics, Biomedical Engineering, or a related quantitative field.
• 5+ years of industry experience in a Data Scientist, ML Engineer, or Applied Scientist role, or 2+ years post-PhD in a comparable position.
• Demonstrated track record of shipping algorithms or ML models to production in a real-world product or clinical environment.
• Deep expertise in machine learning, signal processing, or computer vision, with hands-on experience across the full ML lifecycle.
• Strong software engineering skills: production-level coding, version control, testing, and integration with backend systems.
• Experience working with sensor data, time-series analysis, or medical imaging in cross-functional R&D environments.
• People leadership experience (e.g. line management, team lead, or equivalent), with the ability to inspire and develop a technical team.
• Strong communication and collaboration skills, with comfort operating under uncertainty, making pragmatic trade-offs, and driving clarity in ambiguous situations.
• Motivated to apply cutting-edge science to improve preventative and early-detection healthcare.

Responsibilities

• Develop, verify, validate, and deploy ML models and algorithms for clinical decision support, contributing to new product features or research breakthroughs.
• Build and lead a high-performing pod of data scientists - providing line management, mentorship, regular feedback, and career development support to help each team member thrive.
• Set and uphold technical standards, code quality, and best practices within the pod, and deliver production-quality code integrated into Neko’s backend infrastructure.
• Collaborate cross-functionally with hardware engineers, firmware engineers, software engineers, medical doctors, and clinical researchers to develop and validate clinical use-cases, and support the regulatory readiness of algorithms and models.
• Contribute to the Data Science leadership team - shaping area-wide strategy, best practices, common tooling, and ways of working.

Skills

Machine Learning

Deep Learning

Software Engineering

Team Leadership

Communication

Education

MSc or PhD in ML/CS/Physics/Biomedical Eng

Tools

Python

TensorFlow/PyTorch

SQL

MLops

Job description

Neko Health is seeking a Data Science Pod Lead to build and scale production-grade ML models from sensor data while mentoring a pod of data scientists. You will shape the technical direction, set coding standards, and ensure robust validation and deployment into our backend.

You will collaborate with hardware engineers, clinicians, and researchers to translate complex health data into validated decision-support tools that improve patient outcomes.