IT recruitment: search and selection for direct hire

Data Scientist recruitment: search and selection of data specialists to hire

Assessing a Data Scientist is hard when no one in the company works with data. We define the profile with you, look for candidates and assess them in a live technical interview on statistics, data quality and production.

Start the search How the search works

What we assess in the technical interview

Technical interviews are live and run by people who work with the same technologies every day. These are the topics we cover for this role.

Statistics and model validation
How they choose metrics, keep training and test data apart and spot a model that does not generalise.
Data quality
How they handle missing values, errors and imbalanced data, and how they check where the data comes from.
Python and SQL
How they extract, join and transform data, with readable code and analyses others can repeat.
Putting models into production
How they take a model out of the notebook: versions, monitoring and work with the people who run the systems.
Communicating results
How they explain a result and its limits to the people who have to decide, without jargon.

Skills and tools we verify

In the briefing we agree with you on the ones that matter to your team; the technical interview verifies them.

Python
SQL
pandas
scikit-learn
PyTorch or TensorFlow
Inferential statistics
A/B testing
MLflow

Seniority

Junior, mid or senior: what changes in what you can expect from the person you hire.

Junior: Cleans and analyses data, builds simple models and presents them with the support of a more experienced colleague.
Mid: Runs a project on their own, from the business question to the validated model, and explains the results.
Senior: Decides which problems are worth solving with data, sets methods and standards and leads other data scientists.

How the search works

01
Briefing
You tell us about the role, the team, the technologies and the contract you offer: this sets the assessment criteria.
02
Search and screening
We look for suitable profiles and screen them on experience, skills and motivation before proposing an interview.
03
Live technical interviews and shortlist
Live technical interviews are run by people who work with the same technologies every day. The shortlist is guaranteed within 4 working days.
04
Hiring and guarantee
You choose who to hire. You have a free replacement guarantee within the 3-month probation.

Costs

Free search
The search and selection of IT staff costs you nothing: briefing, screening, technical interviews and shortlist are free.
A fee of 15% of the gross annual salary
You pay it only once the hire has taken place. If you hire no one, you pay nothing.
Free replacement
If the person you hire does not pass the 3-month probation, we replace them free of charge.

Need the profile for a period rather than hiring them?

With Talent as a Service the professional works in your team for as long as you need, without you hiring them: contract and administration stay with us.

Data Scientist with Talent as a Service

Frequently asked questions

How long does it take to find a Data Scientist?

The shortlist is guaranteed within 4 working days. After that, timing depends on your interviews and on the notice period of the person you choose.

How do you assess technical skills?

With a live technical interview run by someone who works with data and models every day: we talk about real projects, how they were validated and what happened next, in production.

What happens if the person does not pass probation?

You have a free replacement guarantee within the 3-month probation: we reopen the search and present new profiles at no cost.

What is the difference between a Data Scientist and a Data Engineer?

A Data Scientist uses data to build models and answer business questions; a Data Engineer builds the pipelines that collect and prepare that data. If you need the latter, we clarify it in the briefing.