Visuary

Data Scientist

France full-time Senior Salary not listed
full-time Senior level Technology & IT Curated
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About the role

MISSION:
- Implement a machine learning algorithm that creates floorplan layouts automatically inside a given shape.
There has been some research around this topic and there is existing literature.
YOUR COMPETENCES:
- math (geometry and numerical analysis)
- machine learning

computational complexity theory

- python / pytorch / sklearn
YOUR RESPONSIBILITIES:
- participating in the creation of a tool that changes the way we build new flats
- creating research road maps with budgeting
- staying up to date with state of the art machine learning technology
- conducting research that will lead to improvement of algorithms currently being used
- develop quantitative benchmarks that will help evaluate quality of algorithms
- proactively seek opportunities to improve various aspects of our business by applying scientific approach
QUALIFICATIONS:
You need to have a Masters from an outsdanding university or a PhD to apply to this position.
HOW TO APPLY:
Please explain in a few sentences how you intend to implement the algorithm.
We are a startup with ambition, and therefore flexible on working conditions but demanding on the quality of work.
Daily meetings at 10AM UTC. There will be technical tests.
VISUARY (visuary.com) is a Paris based start-up aiming to make the construction and personalization of new homes accessible and easier. For this, we are developing a platform that allows buyers to view and personalize their accommodation online and provides insights to the constructors.
We are a team of twelve working fully remote.
You will join a dynamic and international team for a mission where you will have an impact.
We are looking for autonomous and qualified people, wishing to take part in the adventure from its inception, and experience the growth of the company.
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Senior
Technology & IT Finance Python Data Scientist Technology Senior level

Likely questions

  1. Tell us about work you have done that is close to the Data Scientist role.
  2. How would you approach your first 30 days at Visuary?
  3. Which of Finance, Python and Data have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Finance, Python and Data.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Scientist role because I can bring practical experience in Finance, Python and Data, learn the team quickly, and contribute to the outcomes Visuary needs from this hire.

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