Data Scientist - Industrial Environment
Role details
Job location
Tech stack
Job description
- Identify and formalize business needs related to industrialization
- Write specifications for Machine Learning models
- Develop Data Science prototypes and demonstrate their value
- Set up the necessary tests for production deployment
- Promote best practices for industrializing Data solutions
- Simplify, rationalize, and structure industrial data
- Propose robust and adapted analysis methodologies
- Support business teams towards a "data driven" culture, At Amaris, we are committed to offering our candidates the best possible recruitment experience. We seek to better know and understand our candidates, challenge them, and provide feedback as quickly as possible. Here is what our recruitment process looks like:
First contact: Our process usually starts with a brief virtual/phone conversation to learn more about you! The goal? To get to know you, understand your motivations, and ensure we offer you the position that best fits you!
Interviews (on average, the number of interviews is 3 - but this may vary depending on the seniority level required for the position). During the interviews, you will meet members of our team: your future manager of course, but also others you will work with. These interviews will allow us to learn more about you, your experience and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our history, our teams, and your career opportunities!
Case study: Depending on the position, you may be asked to take a test. This could be a role play, a technical evaluation, a problem-solving scenario, etc.
As you know, every person is different and so is every role in a company. That is why we adapt accordingly, so the process can sometimes be somewhat different for each candidate. That said, we always put ourselves in the candidate's shoes to offer the best possible experience. We look forward to meeting you! Display original ad
Requirements
- Minimum 5 years experience in Data Science required.
- Strong proficiency in Python and Machine Learning needed.
- Ability to link technical issues with business needs., * Minimum 5 years of experience in Data Science
- Proven experience in an industrial environment
- Strong mastery of Python and Machine Learning
- Experience in Business Analysis appreciated
- Knowledge of Dataiku is a plus
- Ability to bridge technical challenges and business needs
- Autonomy, rigor, and analytical mindset