data and AI recruitment agency for tech, by specialist headhunters
your data engineers and data scientists, headhunted by tech specialists.
We hand your role to the headhunter with the most data and AI hires at startups, scale-ups and software publishers: same data volumes, same stack, same product culture.
- no setup fees, pay on hire
- guaranteed replacement
they hire their data and AI teams with muzzo
how do you hire a data engineer or data scientist at a tech company?
Muzzo hires the data engineers, data scientists and AI specialists of tech companies: startups, scale-ups, software publishers. Each role goes to the headhunters with the most hires in these roles in tech. They check what has been shipped to production. Fee of 5 to 30%, paid on hire. Leaves within 3 months: we restart the search free.
the figures
data and AI hiring in tech 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. 63 (business intelligence and analytics) (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, your sector. The rest is scoped in your first conversation with the Muzzo team.
02
the right headhunters get started
Those who have already hired data and AI profiles in tech, on your data volume and your stack.
03
you meet the profiles
Approached and technically assessed by the headhunter. 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?
You set the fee for each role, between 5 and 30%, and you only pay it on hire. No deposit, no fixed fees. A junior data analyst and a lead data engineer who has to lay down the whole architecture do not call for the same search effort: the fee follows that difference.
You get a double guarantee. If your new hire leaves within 3 months, for example because the stack or the data volume were not what was planned, we restart the search at no cost. If no replacement is found within 4 months, we refund 50% of the fees. On average, 94% of Muzzo hires are still in post after 3 months.
our data and AI headhunters are ready to start
A hire signed in under 26 days. You only pay when you hire.
the reality
in tech, a data profile isn't won on salary alone
banking and telecoms pay more
According to Apec, a managerial Big Data profile earns less in IT companies than in banking or telecoms. The headhunter makes the case with the data processed and the product impact, not just the pay scale.
data engineer, data scientist, MLOps: three different jobs
Building a pipeline, training a model and shipping it to production call for different profiles. Each role goes to the headhunter who knows that job in tech.
a model that runs in a demo isn't in production
The headhunter checks what the person has actually shipped to production, at what data scale, not just a research project or a notebook.
the roles
the data and AI profiles our headhunters hire for tech
From a startup's first data engineer to a scale-up's data team, each role goes to a headhunter who knows data in tech.
data engineer
They build and maintain the pipelines that feed the product and the teams. Doctrine hired several data engineers with Muzzo.
already hired in tech
machine learning engineer
They train and ship to production the models that run in the product. Doctrine hired theirs with us.
already hired in tech
lead data engineer
They set the data architecture and manage the team. Theodo hired a lead data engineer with Muzzo.
already hired in tech
data scientist
They explore data and build the models that answer a precise business question, from churn to product recommendation.
data analyst and analytics engineer
They make data readable for product and sales teams, often a startup's first data hire.
the method
a headhunter who knows data in tech
A data engineer and a data scientist are not found in the same networks. The method starts from data volume and the product.
the brief starts from the data and the product
Data volume, data freshness, models already in production, the stack in use: these decide the profile far more than the job title.
a headhunter who specialises in data and AI in tech
Among more than 2,500 selected headhunters, your role goes to those with the most data and AI hires at startups, scale-ups and software publishers.
production work checked
The headhunter checks what the person has shipped to production, at what data scale, and how they worked with product teams.
hiring a data and AI profile at a tech company
why use a data and AI recruitment agency for tech?
A startup or software publisher rarely has a technical recruiting team dedicated to data. Up against large groups and banks, it has to win over profiles already in post with something concrete: what data, what product, what impact.
A data and AI recruitment agency knows these roles in tech: it knows what a pipeline that holds up under load is worth, what a model shipped to production says about a data scientist, and approaches profiles who never answer job ads.
why doesn't tech always pay data profiles the most?
According to Apec, managerial Big Data profiles earn a median €49k gross a year in IT companies, against €54k across this role in every sector. Banking, insurance and telecoms, which also handle huge data volumes, pay more for the same title.
A startup or publisher rarely closes that gap with salary alone. It puts forward product scope, autonomy over the stack and speed of decisions. The headhunter knows what matters to each profile, and tells you before the offer.
data engineer, data scientist, machine learning engineer: whom should you hire?
The data engineer builds and keeps the pipelines that feed the product running: their work is judged on reliability and the volume handled. The data scientist explores data to answer a precise business question, from churn to recommendation.
The machine learning engineer takes over to ship a model to production and keep it running under real conditions. The three profiles sometimes share the same job title in an ad, but not the same skills or the same networks.
your questions about data and AI recruitment in tech
According to Apec, managerial Big Data profiles (data engineer, data scientist, chief data officer) earn a median €49k gross a year in IT companies, against €54k across this role in every sector, and between €37k and €75k for 80% of them (2025 edition). Banking, insurance and telecoms pay more for the same role.
Yes, markedly. According to Apec, managerial Big Data profiles over 45 earn a median €70k gross a year, against €48k under 35 (2025 edition). The gap is one of the widest among tech roles.
Yes. According to Apec, managerial business intelligence and analytics profiles earn a median €54k gross a year in Île-de-France, against €47k in the rest of France (2025 edition).
Our data and AI page covers every sector: banking, industry, retail. This page is for startups, scale-ups and software publishers, where a data profile works with a product team, on a data volume and freshness specific to software.
Our developers page covers the profiles who build the product: frontend, backend, mobile. This page is for the profiles who work on data and models: data engineer, data scientist, machine learning engineer.