data scientist recruitment agency and headhunters
your next data scientist, in good hands.
We combine our data, our data experts and our AI algorithms to identify the headhunter most relevant to your role, from a first data scientist to a senior data scientist.
- no setup fees, pay on hire
- guaranteed replacement
they hire their data scientists with muzzo
how do you hire a data scientist through a recruitment agency?
A data scientist builds models to forecast, classify or recommend, not just prototypes in a notebook. Muzzo gives your role to the headhunters who hire the most data scientists: they check a model genuinely running in production. Fee of 5 to 30%, paid on hire. Leaves within 3 months: we restart the search free.
the figures
a data scientist's salary in figures
source: Apec, private-sector managerial pay in 111 job families, 2025 edition, p. 62 (Big Data) (opens a new window), 2025 data
source: Apec, private-sector managerial pay in 111 job families, 2025 edition, p. 62 (Big Data) (opens a new window), 2025 data
source: Apec, private-sector managerial pay in 111 job families, 2025 edition, p. 62 (Big Data) (opens a new window), 2025 data
how it works
you only pay if you hire
01
you describe the role
Using the form above: the role, your company, the problem to model. The rest is scoped in your first conversation with the Muzzo team.
02
our data chooses the headhunters
Our AI picks those who have hired the most data scientists, from more than 2,500 selected headhunters.
03
you meet the best profiles
Approached and qualified by headhunters who are data science experts. You choose who you meet.
04
you hire, then you pay
Not before. If your new hire leaves within 3 months, we restart the search at no cost.
they hired with muzzo
Muzzo's strength is the diversity of its recruiters: there is always someone listening to our needs.
With Muzzo, I get the reactivity of a marketplace and the quality of a search firm.
let's talk about your role
Antoine and the Muzzo team help you scope your role and choose the right headhunters. Describe your role in the form: we'll call you back to discuss it.
Antoine GigomasCEO and co-founder of Muzzo
one last question?
With Muzzo, you set the fee, between 5 and 30%, and you only pay it on hire: no deposit, no fixed fees. A first data scientist and a senior profile designing complex models don't take the same search. The fee follows that scarcity.
You have a double guarantee. If your new hire leaves within 3 months, for example because the problem to model wasn't what was planned, we restart the search at no cost. If we find no replacement within 4 months, we refund 50% of the fees. On average, 94% of Muzzo hires are still in post after 3 months.
headhunters who hire data scientists are ready to start
A hire signed in under 26 days. You only pay when you hire.
the reality
a data scientist is judged on a model that runs, not a notebook that works once
a good prototype isn't a model in production
Many profiles can train a model on a clean dataset locally. Few can keep it running in production, with real, imperfect data.
without a data engineer, a data scientist cleans files
Without reliable pipelines to feed them, a data scientist spends much of their time preparing data rather than modelling. See also our data engineer page.
a poorly evaluated model is costly after the fact
A model that fails silently, with no alert, can skew decisions for months. The headhunter checks how the profile has measured and monitored past models.
the roles
the data scientist profiles our headhunters go after for you
From a first data scientist in a small team to a senior profile designing complex models, each role goes to a headhunter who knows this field.
data scientist
They build models to forecast, classify or recommend, from data already available. The most requested role in this family.
already hired via muzzo
senior data scientist
They choose the right modelling approaches, challenge results and sometimes manage one or two more junior profiles.
already hired via muzzo
machine learning engineer
They put models into production and monitor them over time, sitting at the border between data science and development. See also our data and AI page.
generative AI data scientist
They adapt and evaluate language models for a specific use case, a recent role that adds to more established machine learning approaches.
data science researcher
They explore new approaches before they become standard practice in the field. A rarer profile, often from a research background.
the method
a modelling specialist headhunter, not a generalist data recruiter
A data scientist who builds models and a data engineer who builds pipelines aren't hired from the same networks. The method starts from this distinction.
we scope the problem to model
Forecasting, classification, recommendation, and the data already available to do it: the brief describes the business problem, not just 'a data scientist role'.
a headhunter who hires data scientists
From more than 2,500 selected headhunters, your role goes to those who hire the most on this specific specialism.
a model in production checked, not a standalone notebook
The headhunter asks for a model genuinely deployed, its measured impact and how its performance was tracked over time.
hiring a data scientist: what you need to know
why use a dedicated data scientist headhunter, not a generalist data recruiter?
A data scientist builds models to forecast, classify or recommend, from existing data. The role demands statistical rigour as much as a good grasp of the business problem to solve: a technically brilliant model that's useless for the decision serves no purpose.
Confusing this profile with a data engineer or data analyst in the same job ad attracts the wrong profiles. A dedicated headhunter can tell these roles apart and hire based on the real problem you want to solve.
data scientist, data engineer, machine learning engineer: who does what?
The data engineer builds and maintains the pipelines that feed data. The data scientist explores that data and builds models. The machine learning engineer puts those models into production and monitors them over time, at the border between data science and development.
Without a data engineer to feed them, a data scientist spends much of their time cleaning data rather than modelling. For this first profile, see our data engineer page.
how do you assess a data scientist at interview?
A notebook that works once on a clean dataset says nothing about what happens in production, on real, imperfect data. The headhunter asks for a model genuinely deployed: its measured impact, how its performance was tracked, and what was done when it degraded.
They also check the ability to explain a model to non-technical teams: a data scientist who can't justify a recommendation in plain language loses the trust of business teams, even with a good model.
what salary should you offer a data scientist in 2026?
According to Apec, Big Data managers (data engineer, data scientist, chief data officer) earn a median of €48k gross a year under 35, and €70k over 45 (2025 edition). 46% of them receive variable pay, with a median of €4,000.
Location weighs heavily: the median reaches €58k in the Paris region, against €48k in the rest of France. A data scientist based outside Paris remains a credible profile, provided the offer is adjusted to the local market.
do you also hire generative AI profiles?
Yes. Generative AI has created data scientist profiles specialised in adapting and evaluating language models, a recent role that adds to more established machine learning approaches. These profiles often combine a good grasp of existing models with the ability to integrate them into a product.
For the full range of data and AI roles, including profiles closer to engineering than modelling, see our data and AI page.
your questions about hiring a data scientist
In most cases, yes. Without reliable pipelines to feed them, a data scientist spends time cleaning data rather than modelling. See our data engineer page for this first profile.
According to Apec, Big Data managers (data engineer, data scientist) earn a median of €48k gross a year under 35, and €70k over 45. The median reaches €58k in the Paris region, against €48k in the rest of France (2025 edition).
If the role must mainly explore data and build models, that's a data scientist. If the role must put those models into production and monitor them over time, that's closer to a machine learning engineer. See also our data and AI page.
The headhunter asks for a model genuinely deployed, not just a prototype: its measured impact, how its performance was tracked over time, and what was done when it degraded.
Yes. These profiles adapt and evaluate language models for a specific use case, alongside more established machine learning approaches. Describe your need in the form, our headhunters cover these recent roles too.