Exploratory Data Scientist

Paris, FR /
R&D /
At Cardiologs, our mission is to make tomorrow’s medical diagnosis efficient and accessible to everyone, anywhere, anytime. We leverage machine learning (AI) and cloud computing technologies to fulfill this vision. Our Cardiologs platform is a leading software for the analysis of ambulatory ECG used to help diagnose +900,000 patients every year. More recently, we launched a Remote Patient Monitoring solution in the US to help physicians streamline ECG reviews.   

We have an innovative, result-orientated work environment where we foster ambition and dedication while being mindful of our teammates’ work and achievements. We also nurture our company culture with monthly all-hands meetings and apéros, weekly yoga classes, and other fun activities. 

What you’ll do

As an Exploratory Data Scientist, you will be an experienced technical contributor to the team with deep expertise in analyzing large volumes of complex data. You will be finding opportunities for innovative applications of machine learning in cardiology, building models to study unexplored problems, and communicating findings to both technical and non-technical audiences. You will work closely with technical leadership across Cardiologs and be a key participant in early-stage projects, exchanging with healthcare and business experts.

Also, you will:
- Propose and develop machine learning proofs of concept (POCs) to advance the field of cardiology,
- Investigate new applications of AI in healthcare
- Keep up-to-date on state of the art in machine learning applications in cardiology,
- Turn a POC into a model that can be deployed in production
- Help the team in continuously improving its ML stack.

Who you are

- You have been developing deep learning models in a professional environment for several years and know how to apply/deploy them to solve real-world problems
- An autonomous, committed, enthusiastic engineer/MSc/PhD in mathematics, physics or computer science, with a "can-do", creative and challenging mindset
- Know-how in different deep learning techniques and their performance in practice
- Up-to-date knowledge on the recent developments in the field of deep learning
- You have already worked with Python, Git and a deep learning framework (Keras, Tensorflow, Pytorch, …)
- Fluent in spoken and written English, and have at least basic notions in French (you'll work within an international team)
- Knowledge in ML for health care is a plus

What we value

We value a positive mindset, collaboration, sense of ownership, transparency, the ability to embrace ambiguity, a talk-less-do-more attitude, and a sense of humor to enjoy ourselves along the way. If you identify with our values and want to contribute to our company, we’d love to have you in!

What we offer

- Beautifully by-the-book startup offices in central Paris (we are in the 2nd arrondissement)
- A respectful, fun, collaborative work environment
- Weekly yoga classes
- Mobility packages for public transportation and cycling benefits
- Flexible WFO/WFH policy
- Lunch vouchers (Swile card)
- Daily fresh fruits and healthy (or not) snacks
- Monthly apéros
- Yearly team off-sites

Our recruiting process
Being authorized to work in the EU is a precondition of employment.

- Quick introductory HR phone call + a Quick Tech phone call with a 10' tech test in Python
- Homework
- Technical interview in our office or by Zoom
- Performance interview  in our office or by Zoom
- Culture interview (with lunch or drinks with the team if possible!)
- Quick call with our CEO, Yann (only if you did not have the opportunity to meet him in one of the previous interviews)
- Reference calls