Home › Companies › Marss › FR - Data Manager
FR - Data Manager
Marss · Nice, 06200, France · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Marss |
| Title | FR - Data Manager |
| Normalized title | - |
| Department / team | Software |
| Location | Nice |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2023-02-15 / 2026-06-06 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Marss. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Nice. | Open |
| Department jobs | Active postings in Software. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Marss |
| Source | 5120fc89-a1b7-4f74-9fce-fe0400be6b04 |
| ATS provider | BambooHR |
Description
Job Title: Data Manager
Reports to: VP AI
Location: France - Nice
Type: Full-time
The Position
MARSS is investing in the Machine Learning field in order to improve our NiDAR software in the following areas:
Video Classification, Detection, Tracking
Pattern recognition / Anomaly detection
Radar tracking
Radio Frequency analysis
Our current focus is strongly in the video area, but we aim at growing quickly our experiments in the other fields.
Our team is growing, and we are searching for a Data Manager to complete the existing team.
Responsibilities
The Data Manager will overview all the data related tasks, this includes:
Making sure all the recordings exists for each component, the recorded data is complete and the recorders are working on each deployment
Collect and organise the data in an easily accessible way (probably using a DB for certain types of data)
Manage data distribute on multiple sites
Be aware of data recording restrictions by country and take the necessary measures
Manage annotations either by creating tools, cross-referencing data or organising annotation campaigns
Extract meta data from the datasets (like study periodicity of events, warning of potential issues on a site, usage statistics, etc)
Help preparing the data for more sophisticated ML models for prediction, classification, tracking, sensor fusion, etc.
Requirements
Good knowledge of Python, Bash, Docker, Docker-compose, to create and maintain the recording systems
Knowledge of SQL to create a DB where the data will be stored and organised
Very organised person used to work with huge amounts of data
We work on Linux (although laptops are Mac, which is now a second class citizen to Nvidia...). We require either working experience or at
least appropriate theoretical knowledge (or both).
Experience on an ML framework like TensorFlow, Keras, and PyTorch will be a plus
Education
We prefer at least bachelors degree level in a science or engineering discipline. Masters or doctorate advantageous
The Work Environment
Development on Macs and Ubuntu: We're pragmatic so realize we also have to work with Windows occasionally.
Small team: Embracing modern development practices. New ideas are always encouraged and we'll try most things, but we always settle on
what works for us.
Diverse team: Our team is very multicultural including a mix of experienced engineers, successful sales and project managers balanced with
the brightest young graduates.
Passionate: We are passionate and enjoy what we do!
Integration and interfacing
Our core activity is safety and security applications. We're bringing the latest web technologies to real-world hardware i.e. we don't work in the
cloud. We interface with very diverse equipment: radar, sonar, thermal imaging, software-defined radios and more. Our UI runs on touchscreen
displays, tablets, phones, smart-glasses...
Challenges
If you are looking for an easy job, this isn't it. We operate in mission critical environments. Our systems can operate at sea and high security
areas with limited connectivity to the data center. So, all your assumptions about cloud development techniques and operating environments will
be constantly challenged. Timelines are strict, and creativity is often required to solve unexpected technical issues. It can be extremely diverse,
interesting, and rewarding if you are up to the challenge!
Full job record
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| Org ID | c6795a1a-a8eb-4c8f-ab6b-12150450e6a0 |
| Source ID | 5120fc89-a1b7-4f74-9fce-fe0400be6b04 |
| Board ID | 5120fc89-a1b7-4f74-9fce-fe0400be6b04 |
| Provider | bamboohr |
| Provider Job Key | 107 |
| Title | FR - Data Manager |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Nice, 06200, France |
| Department | Software |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | — |
| City | Nice |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://marss.bamboohr.com/careers/107 |
| Apply URL | https://marss.bamboohr.com/careers/107 |
| First Seen At | 2026-06-06 10:21:08Z |
| Last Seen At | 2026-06-06 10:21:08Z |
| Last Checked At | 2026-06-06 10:21:08Z |
| Last Changed At | 2026-06-06 10:21:08Z |
| Inactive At | — |
| Source Posted At | 2023-02-15 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=marss/date=2026-06-06/2026-06-06T10-21-06-296Z-7ed1980a7009efbed742396c4057ef4c94bb83ea3391e950796fa3f5aa3151b3.json |
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"description": "<p><span style=\"font-weight: bold\">Job Title: Data Manager</span></p>\n<p><span style=\"font-weight: bold\">Reports to: VP AI</span></p>\n<p><span style=\"font-weight: bold\">Location: France - Nice</span></p>\n<p><span style=\"font-weight: bold\">Type: Full-time</span><span><br><br></span></p>\n<p><span style=\"font-size: 22px\">The Position</span></p>\n<p><br></p>\n<p>MARSS is investing in the Machine Learning field in order to improve our NiDAR software in the following areas:</p>\n<ul>\n<li>Video Classification, Detection, Tracking</li>\n<li>Pattern recognition / Anomaly detection</li>\n<li>Radar tracking</li>\n<li>Radio Frequency analysis</li>\n</ul>\n<p>Our current focus is strongly in the video area, but we aim at growing quickly our experiments in the other fields.</p>\n<p>Our team is growing, and we are searching for a Data Manager to complete the existing team.</p>\n<p><br></p>\n<p><span style=\"font-size: 22px\">Responsibilities </span></p>\n<p><br></p>\n<p>The Data Manager will overview all the data related tasks, this includes:</p>\n<p><br></p>\n<ul>\n<li>Making sure all the recordings exists for each component, the recorded data is complete and the recorders are working on each deployment</li>\n<li>Collect and organise the data in an easily accessible way (probably using a DB for certain types of data)</li>\n<li>Manage data distribute on multiple sites</li>\n<li>Be aware of data recording restrictions by country and take the necessary measures</li>\n<li>Manage annotations either by creating tools, cross-referencing data or organising annotation campaigns</li>\n<li>Extract meta data from the datasets (like study periodicity of events, warning of potential issues on a site, usage statistics, etc)</li>\n<li>Help preparing the data for more sophisticated ML models for prediction, classification, tracking, sensor fusion, etc.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 22px\">Requirements<br><br></span></p>\n<ul>\n<li>Good knowledge of Python, Bash, Docker, Docker-compose, to create and maintain the recording systems</li>\n<li>Knowledge of SQL to create a DB where the data will be stored and organised</li>\n<li>Very organised person used to work with huge amounts of data</li>\n<li>We work on Linux (although laptops are Mac, which is now a second class citizen to Nvidia...). We require either working experience or at</li>\n<li>least appropriate theoretical knowledge (or both).</li>\n<li>Experience on an ML framework like TensorFlow, Keras, and PyTorch will be a plus</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Education</span></p>\n<p>We prefer at least bachelors degree level in a science or engineering discipline. Masters or doctorate advantageous</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">The Work Environment</span></p>\n<p>Development on Macs and Ubuntu: We're pragmatic so realize we also have to work with Windows occasionally.</p>\n<p>Small team: Embracing modern development practices. New ideas are always encouraged and we'll try most things, but we always settle on</p>\n<p>what works for us.</p>\n<p>Diverse team: Our team is very multicultural including a mix of experienced engineers, successful sales and project managers balanced with</p>\n<p>the brightest young graduates.</p>\n<p>Passionate: We are passionate and enjoy what we do!<br><br></p>\n<p><span style=\"font-weight: bold\">Integration and interfacing</span></p>\n<p>Our core activity is safety and security applications. We're bringing the latest web technologies to real-world hardware i.e. we don't work in the</p>\n<p>cloud. We interface with very diverse equipment: radar, sonar, thermal imaging, software-defined radios and more. Our UI runs on touchscreen</p>\n<p>displays, tablets, phones, smart-glasses...<br><br></p>\n<p><span style=\"font-weight: bold\">Challenges</span></p>\n<p>If you are looking for an easy job, this isn't it. We operate in mission critical environments. Our systems can operate at sea and high security</p>\n<p>areas with limited connectivity to the data center. So, all your assumptions about cloud development techniques and operating environments will</p>\n<p>be constantly challenged. Timelines are strict, and creativity is often required to solve unexpected technical issues. It can be extremely diverse,</p>\n<p>interesting, and rewarding if you are up to the challenge!</p>\n<p><span><br></span></p>",
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