🙌🏼 Who are we looking for?
We are looking for a passionate Senior Data Scientist with expertise in experimental and numerical physics, ideally with significant experience in taking measurements in an industrial or laboratory environment.
Our proprietary IoT boxes collect behavioral data on the use of our customers' elevators, escalators, automatic doors, etc. This data is then processed using AI algorithms and allows:
- To observe and predict the behavior of devices (predictive maintenance)
- To alert intervention teams in real time during breakdowns
- To provide usage statistics to help our customers in their decision-making (intelligent CAPEX strategy, flow optimization, energy saving strategy, etc.)
It is in this context of continuous improvement of our IoT boxes, sensors, processing and algorithms that this role takes place.
📈 What will be your future role?
You will work closely with our IoT team based in Paris and will be required to:
- Work in the field alongside experienced engineers and technicians to understand practical needs and operational constraints
- Design and execute experimental plans to validate hypotheses and innovate in the field of predictive maintenance
- Work closely with the Product Engineering team to integrate your work into our technology solutions
Your role will combine research, development and concrete implementation of innovative IoT solutions:
Data analysis and modeling:
- Explore, clean and analyze data from sensors (vibrations, temperature, energy consumption, etc.)
- Integrating hybrid approaches combining physical models and data-driven models
- Developing machine learning (ML) and deep learning (DL) algorithms adapted to predictive maintenance issues
IoT solutions design:
- Collaborate with hardware teams to define and validate sensor specifications
- Management of sensor calibration and physical interpretation of collected signals
- Contribute to the optimization of the data acquisition chain (edge computing, signal filtration, etc.)
Prototype development:
- Designing on-edge (greengrass) real-time data processing and communication software
- Develop model prototypes for PoCs integrating industrial constraints
Collaboration and documentation:
- Work closely with multidisciplinary teams (IoT engineers, Data team, Product and engineering team, Lift/Escalator technical experts)
- Write technical reports and scientific publications (if applicable)
👑 You are the right person for us if:
- You have a solid command of statistics, Machine Learning and physical modeling applied to sensors (vibrations, acoustics, thermodynamics, etc.) as well as the advantages and limitations of data collected by sensors (Bias, Uncertainties, etc.)
- You have already worked with data from physical sensors, managed their calibration and interpreted their signals
- You are proficient in Python (numpy, pandas, etc.), SQL, as well as signal processing tools
- You are curious, independent, creative and know how to popularize complex technical concepts
- You speak French and English fluently
🌟 Boints point:
- Significant experience in an industrial project (predictive maintenance, fusion of data from multiple sensors)
- Experience with embedded IoT systems or advanced algorithms for predictive analysis
- Knowledge of the AWS suite (IoT Core, Greengrass etc ...)
- Expertise in energy optimization or CAPEX strategies
Hybrid work possible from Paris (ideally) or London for proximity to our field teams with whom you will be required to interact frequently.
✏️ How to apply?
At WeMaintain, we firmly believe that a message that presents your motivation is much more than a simple letter required during an application. It is your chance to show us who you are beyond your CV. Telling us about your motivation for this position will allow us to understand what drives you, why you want to join our team and how you can contribute to our success, you can include any relevant experience or project related to your application. It allows us to discover your personality, your values and to explain to us why you want to do this job.
Each application is read carefully, and your motivation will make the difference by allowing us to know you better and understand what you can bring to our company.
🎯 Recruitment process:
- Telephone conversation with Katia, Recruitment Manager - 30min
- Meeting (virtual or real) with Clément, Lead Data Scientist & your future Manager and Tim (CIO) / David (CTO) - 60min
- Technical Case to prepare - 1 week
- Case Debrief (virtual or real) with Clément and Damien (IoT Lead) / Saci (Embedded Electronics Engineer) - 60min
- Meeting (virtual or real) with some of your future acolytes - 45min
- Welcome to our home! 🎉
Please note: At WeMaintain, we are convinced that it is possible to combine performance and responsibility.
