Senior Data Scientist

Eko Devices; Deutschland; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A health-tech company is seeking a proficient data scientist to advance methodologies for cardiovascular health assessment. The role involves collaboration with medical professionals in a remote-first environment, requiring strong machine learning skills and an academic background in Software Engineering or Machine Learning. Ideal candidates will have experience in implementing algorithms into production and working with diverse programming tools.

Leistungen

Flexible workplace focusing on work/life balance

Collaborative and engaging work environment

Qualifikationen

• Proven experience in delivering algorithms and models into production.
• Strong track record of machine learning application.

Aufgaben

• Advance innovative methodologies for cardiovascular health assessment.
• Collaborate with medical doctors and clinical experts.

Kenntnisse

Machine learning algorithm design

Signal processing knowledge

Software development skills

Experience with time-series data

Ausbildung

Academic background in Software Engineering/Machine Learning

MSc or PhD level in Machine Learning

Tools

React

Typescript

C++

Python

C# with ASP.NET Core

Azure Cosmos DB

Jobbeschreibung

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 300 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.

Requirements (must have):

• 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

Requirements (nice to have):

• Further study to MSc or PhD level in Machine Learning
• Expertise in cardiovascular sensor data (e.g. electrocardiogram, heart sound, or photoplethysmogram (PPG)

About the Engineering Team

Distributed and Remote First

We are nearly 100 full time engineers at the company, working from Berlin, Chamonix, Hamburg, Lisbon, Marseille, Vilnius, and Stockholm, spanning diverse disciplines such as Hardware Engineering, Firmware Development, Electrical Design, Algorithm Development, Machine Learning Development, Optronics Research, Frontend Development and more. We don't expect people to join us with a specific tech knowledge, but we do expect you to work with our tools. We use a mix of React, Typescript, C++, and Python. Our APIs are written in C# with ASP.NET Core, uses Azure Cosmos DB, and Azure Active Directory for authentication.

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.