Description review

Data Scientist

Visuary · France · back to the listing

HR standards

63/100

needs work

Title ↔ description

70/100

solid

Reads as

Data Scientist

88% confident

What this role officially is

data scientist — ESCO, the EU occupation classification

Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.

Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist

How others title the same work

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What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

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

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 4 points (from 67 before penalties). Reviewed 21 Sep 2026.