What you will do
As a data scientist, you will:
Be responsible for the full-chain construction of quality prediction ML algorithms
Perform deep data exploration using physical modelling of the system
Contribute to the general R&D initiatives of Lynceus
Interact with customers (process engineers, innovation teams, project managers…) to understand the context and advocate your models
Take part in model deployment, working together with our ML Engineers
What we are looking for
Candidates should have the following qualities:
At least 2 - 3 years of experience in the design and deployment of ML algorithms, either for consulting missions or as part of data initiatives in industrial data initiatives
Strive to apply cutting edge AI techniques
Capacity to lead technical communication with customers
Desire to build physics-driven ML models
Strong coding skills, notably for the deployment of ML models written in python
Autonomous, hard working, team-oriented and fast learning
Strong analytical and problem-solving skills
Ability to multitask and handle various priorities in a high paced environment
Experience in working closely with customers
Fluency in English
The following would be considered as an advantage, but is not required:
About us
At Lynceus, we are building the first predictive OS for high-value manufacturing.
We provide software with edge/cloud hybrid architecture, deployed within manufacturing process control tools. We are building a scalable generic product, supported by the most robust machine learning models. Today, our platform leverages manufacturing data and in-house process comprehension to predict the performance of manufactured goods and systems (in-line and end-of-line quality tests), with each manufacturing step modelled independently. We deliver gains for our customers both through yield improvement and added production capacity. Tomorrow, our software will provide quality predictions further in time (customer returns, product performance in time, longevity, etc), integrate within the process control tools, and allow for powerful simulations of new process steps.
Semiconductor manufacturing is our first market, and we are working today with major semiconductor firms, with deployments already completed in several factories. We are also relevant for most high added-value manufacturing, with use cases and interest proven in LED, battery, biopharma and chemical industries.
We are venture-backed and currently in the process of raising a Series A round to accelerate our growth. As we scale our team, we are actively looking for enthusiastic, ambitious and driven individuals to help us deliver the most scalable models on the market, all the while demonstrating acute process and customer understanding.
We are a remote-first company with a truly international working environment. Our team represents 11 nationalities and spans 12 vibrant cities across Europe & the Middle East, where diversity fuels our innovation in AI.
