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HomeCompaniesMarssFR - Data Manager

FR - Data Manager

Marss · Nice, 06200, France · Active · BambooHR

Job facts

FieldValue
CompanyMarss
TitleFR - Data Manager
Normalized title-
Department / teamSoftware
LocationNice
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2023-02-15 / 2026-06-06
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Marss.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Nice.Open
Department jobsActive postings in Software.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMarss
Source5120fc89-a1b7-4f74-9fce-fe0400be6b04
ATS providerBambooHR

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

Job IDce96c5d0a2a286ccae9b733bf8f000e836be28b4
Org IDc6795a1a-a8eb-4c8f-ab6b-12150450e6a0
Source ID5120fc89-a1b7-4f74-9fce-fe0400be6b04
Board ID5120fc89-a1b7-4f74-9fce-fe0400be6b04
Providerbamboohr
Provider Job Key107
TitleFR - Data Manager
Normalized Title
Statusactive
Activeyes
Location TextNice, 06200, France
DepartmentSoftware
Team
Employment Typefull_time
Workplace Type
Remote Policy
Country
Region
CityNice
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://marss.bamboohr.com/careers/107
Apply URLhttps://marss.bamboohr.com/careers/107
First Seen At2026-06-06 10:21:08Z
Last Seen At2026-06-06 10:21:08Z
Last Checked At2026-06-06 10:21:08Z
Last Changed At2026-06-06 10:21:08Z
Inactive At
Source Posted At2023-02-15 00:00:00Z
Source Updated At
Raw Payload Uris3://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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Parsed Structured
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Extensions
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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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