About Osium AI

Osium AI is the pioneering AI-powered platform to accelerate materials and chemicals R&D. Osium AI partners with international industry leaders to drastically reduce materials and chemicals time to market in many fields spanning from textile, chemicals, polymers, composites to alloys and bio-based materials.

After going through Y Combinator (the most prestigious startup accelerator in the world located in San Francisco), the company successfully raised a $2.6M Seed round announced in November 2023 with US and European funds such as Y Combinator, Collaborative Fund and Singular. Osium AI is also backed by French Institution Bpifrance with a €1M funding completing the Seed round.

At Osium AI, we build a disruptive and proprietary AI-powered technology empowering industry players to develop the next generation of materials faster. We are committed to bringing the highest standards to continue leading innovation and maintain our pioneering position in the field.

We are looking for visionary and agile talent to join our fast-growing, diverse, and ambitious team and help shape the future of materials science.


About the role

As a Data Scientist, you will have the opportunity to contribute to building a unique AI technology and help us radically transform materials and chemicals innovation.

What you can expect:

• You will solve complex data science problems

• You will work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• You will implement high-value data-oriented for our software to bring the highest value to our customers

• You will directly report to the CTO

• You will contribute to a strong mission where AI is key

  
  

If you have an AI background and if you are looking to build state-of-the-art AI technologies in a mission-driven company, you should apply for this role!

About you

Your qualifications

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

• Previous experience working on end-to-end data science projects

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

About the process

First, you can send your resume to the address: careers@osium.ai

Then, there will be several steps in the process:

• Introductory call with our CEO

• Technical Machine Learning and Coding interviews

• Onsite interview to meet the team!

We look forward to hearing from you!