Senior Data Scientist - Neko Health


Stockholm, Sweden

Fully Remote



Neko Health

Our vision is to improve people's health by creating a proactive healthcare system.

Join Neko Health as a Senior Data Scientist and make a difference in the health-tech industry! We're looking for an imaginative and talented individual who is eager to help us develop and operate our secure, world-scale, and performant health data platform.  

About Neko Health 

Neko Health is a Swedish health-tech company co-founded in 2018 by Hjalmar Nilsonne and Daniel Ek. Our vision is to create a healthcare system that can help people stay healthy through preventive measures and early detection. Neko has developed a new medical scanning technology concept to make it possible to do broad and non-invasive health data collection that is both convenient and affordable for the public. This requires completely reimagining the healthcare experience and incorporating the latest advances in sensors and AI. We are a remote first company, but the company is based in Stockholm and has over 50 employees across Europe.  

About the role 

We are currently seeking a proficient and seasoned data scientist to become an integral part of our team. The primary emphasis of this role lies in the advancement of innovative methodologies for cardiovascular health assessment.  Our algorithmic team consists of highly capable professionals, encompassing data scientists, machine learning experts, and software engineers. The team collaborates closely with both our internal medical doctors as well as external clinical experts. Most of our team operates from our Stockholm office, providing an engaging and cooperative work atmosphere. 

What we are looking for 
Must haves: 
  • An academic background in Software Engineering/Machine Learning 
  • A strong proficiency in designing and implementing machine learning algorithms 
  • In-depth knowledge of both machine learning and signal processing 
  • Strong software skills, with a strong track record successfully delivering algorithms and models into production 
  • Prior experience applying machine learning to time-series 
It would be highly advantageous if you have the following: 
  • Further study to MSc or PhD level in Machine Learning 
  • Expertise in cardiovascular sensor data (e.g. electrocardiogram, heart sound, or photoplethysmogram (PPG)

While a perfect match between your skillset and our technology stack is not essential, your willingness and ability to learn is paramount. We value individuals with excellent analytical and problem-solving skills, as well as the capacity to thrive in a fast-paced environment. Given our remote-first work environment and collaboration with diverse teams, strong communication skills are crucial for effective collaboration with cross-functional teams. 

If you meet these requirements and possess a genuine passion for tackling complex challenges through algorithmic solutions, we invite you to apply for this exciting opportunity. Join our team and contribute to cutting-edge advancements in cardiovascular assessment. 

About the Engineering Team 
Distributed and Remote First 

We are over 50 full time engineers at the company, spanning diverse disciplines such as Hardware Engineering, Firmware Development, Electrical Design, Algorithm Development, Machine Learning Development, Optronics Research, Frontend Development and more. 

Our headquarters and our hardware development team are in Stockholm, Sweden. 

We are a Remote First company; however, it is of course much easier to work remotely as a software engineer than a hardware or firmware engineer (since they require access to hardware or devices occasionally). Software engineers based in Stockholm work maybe one day a week or one day every two weeks from the office. 

We meet a couple of times per year to get to know each other and have fun. 

Organization and Way of Working 

The engineering team is divided into smaller cross functional project teams that each focus on a specific goal or target, where some groups are long-lived, and some are short-lived, depending on how big the goal or deliverable is. We strive to create groups which are cross-functional and able to complete their goals without dependence on other teams, even though this is of course not always possible. 

Groups track goals on a yearly and quarterly basis with goal follow-up across the entire engineering organization on a bi-weekly basis. 

Most groups do internal planning on a bi-weekly basis, but in the end it's up to the group to decide how they want to work. 

We have, however, mandated that all groups must present their progress or failures or hacks at our bi-weekly engineering demo, a fun meeting/presentation where we talk about everything from short-circuiting power-modules, how hard it is to calibrate cameras or align polygons in space, to neat new command line tools for operations, a new auth mechanism in the backend, a cool new way to visualize health data or a new feature which helps our doctors be more productive. 

We have a flexible workplace that focuses on work/life balance, and we strongly believe in our mission but do not think that achieving it requires sacrificing everything else.