Your mission is to lead the Data Science team to develop and deploy AI algorithms processing data from cardiac implants, enabling the company to become a global champion in detection and prediction of heart troubles.

Your missions

Main Missions

• Lead and challenge the Data Science vision at Implicity, in direct interaction with our Head of Data Engineering and our C.E.O

• Manage a team of 7 Data Scientists, create an environment in which they can grow their skills

• Deploy the models to production and monitor the performance, in collaboration with our Tech team and the Data Science team

• Work on regulatory approval of algorithms (FDA and CE mark)

• Inspire good coding practices within the Data Science team

Main projects

• Finalize the development of Implicity’s first digital medical device for the U.S market

• Make full use of the Health Data Hub in the aim of developing a first prototype enabling to design an algorithm dedicated to cardiac incidents prediction

Benefits

• Beautiful office in Paris city centre (75002)
• 2 to 3 days of remote work per week
• Frequent team events

Requirements for the position

[Your background]

• You have a Master degree or a M.Sc. from an engineering school or a technological university, in link with research or applied mathematics

• You have at least 3 years of experience leading and managing a Data Science team, in the development of cloud solutions on a large scale

• You have a proven track record in the development of machine learning or deep learning algorithms

• An experience in the field of digital medical devices would be a strong plus

[Hard skills]

• You speak fluently english and french

• Python (Scikit-learn…)

• AWS

• SQL, NoSQL …

• PySpark, PytTorch, TensorFlow…

[Soft skills]

• You have leadership

• You are structured and rigorous

• You have excellent presentation skills

• You are exigent and have a high level of commitment

• You are bold

• You are team player

1/ Screening Call with Jonathna - 30 min

2/ Interview with David (Head of R&D) and Emmanuel (Data Scientist) - 1h 15 min

3/ Interview with Arnaud (C.E.O) and Thomas (C.O.O) - 1h

4/ Reference check - at least 2 people