Job description

We're looking for a

Senior Data Scientist (Paris, France)

Cornerstone is looking for Data Scientists and Data Engineers to join its Paris-based data science team. This team results of the acquisition early 2020 of Clustree, an HR deep tech start-up that built some world class AI assets around careers data. In a context where Cornerstone is making a strong bet on AI as part of its product vision, The team is now building some cutting-edge data products for 75 million users on core career and learning use cases (Job matching, Learning recommendation, Career path exploration, Skills detection, Company-wide skills visualization, etc.).

As of today, The team consists of 8 people with a strong level of seniority (around 10 years in average), an expertise in NLP and a particular focus on building industrial and scalable data products. By joining this team, you will have the opportunity to contribute to pushing the state of the art of data science into the field of HR, where advances in NLP and technologies such as Clustree's are opening up new exciting possibilities.

Our technologies: Python, Tensorflow, Spark,, AWS, etc.

Our data expertise: machine learning, NLP, deep learning (RNN, sequence processing), information extraction, graph algorithms, ontology development, etc.

As half the team is remote, we are open to remote candidates.

In this role you will...

  • Design, optimise and put into production algorithm-intensive data products
  • Design, develop and maintain industrial and scalable data products
  • Develop R&D work around career and learning data
  • Work in a collaborative team aiming to help you do your best work and make your mark on our products. You will learn a lot from your team and hopefully they will learn from you.
  • Affect customers with your work by deploying features to production and improving their quality
  • Participate in cross-functional discussions with product or technical teams around the world

You’ve got what it takes if you have…

  • More than 5 years of experience in Data Science in a start-up, research laboratory or large group
  • Experience in Python development
  • Experience in Machine Learning
  • A willingness to work on both research and engineering projects
  • A willingness to work in an international work environment

Our Culture:

Our mission is to empower people, businesses and communities. A culture created less by what we do and more by who we are. When people ask what our team is about, we point to our core values: champion customer success, bring our best, achieve together, get stuff done, and innovate every day. We're always on the lookout for new, curious and capable people who can help us achieve our goal and we are seeking diversity in the people who join our team. We want to make sure that our company reflects the demographic of our customers, clients, and the communities in which we operate. So if you want to work for a friendly, global, inclusive and innovative company, we'd love to meet you!

What We Do:

Cornerstone is a premier people development company. We believe people can achieve anything when they have the right development and growth opportunities. We offer organizations the technology, content, expertise and specialized focus to help them realize the potential of their people. Featuring comprehensive recruiting, personalized learning, modern training content, development-driven performance management and holistic employee data management and insights, Cornerstone’s people development solutions are successfully used by more than 75 million people in 180+ countries and in nearly 50 languages.

Cornerstone takes special care to ensure the security and privacy of the data of its users.

Check us out on Linkedin, Comparably, Glassdoor, and Facebook!

Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, religion, color, gender, sex, age, sexual orientation, gender identity, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at

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