Who we are

At Lynceus, we are building the first predictive OS for high-value manufacturing.

Our platform leverages manufacturing data and in-house process comprehension to predict the performance of high-value products (in-line and end-of-line quality tests), enabling engineers to manage their manufacturing processes in real-time. We provide gains for our customers both through yield improvement and added production capacity. Our vision is to use our core quality/performance prediction product as a base for a comprehensive, predictive operating system for high value manufacturing.

We are deployed and have secured contracts with several major semiconductor companies, our first target market. 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 supported by prominent players of both enterprise software and semiconductor industries. As we scale our team, we are actively looking for enthusiastic, ambitious and driven individuals to help us support our team and employees’ growth and own the hiring, organisational and onboarding processes.

What you will do

As a senior 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
• Assist junior data scientists in their daily work
• Take part in model deployment, working together with our ML Engineers

What we are looking for

Candidates should have the following qualities:

• At least 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
• Fluent in English

The following would be considered as an advantage, but is not required:

• Previous experience in innovation with industrial partners

Why us?

• Competitive salary and equity compensation based on experience
• Opportunity to join a growing startup and be a key success factor
• Chance to work fully remote from your chosen city
• Office in the center of Paris
• Team Rituals and Off-sites: Spain? France? Morocco?
• Benefits (e.g. Meals & transportation refund) depending your base country

Interview Process

• Screening Interview with our HR Manager
• Technical Interview with a Senior Data Scientist
• Technical Discussion with our CTO
• Cultural Fit & Behavioural Interview with our Head of Global Customer Operations