Senior Research Scientist - London
London, United Kingdom /
Labs – Labs /
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.
Dataiku’s mission is big: to enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation.
We're looking for a Research Scientist to join our AI Lab team, helping embed Dataiku into the machine learning research community while also working hand-in-hand with Dataiku R&D to solve enterprise data challenges. Straddling these two worlds is no easy feat.
At Dataiku, we develop innovative AI products, at the edge of academic and scientific advances to address our client’s biggest challenges. Artificial Intelligence is not only about face-generating GANs and solving video games, it can also have a real impact on the enterprise. We work on very different topics from drift detection to active learning and AutoML as well as causal inference and its intersection with ML.
Our goal is to define, develop and launch those AI products while contributing to the machine learning community and collaborating with research labs. This requires a strong understanding of state-of-the-art machine learning techniques as well as statistics, experiment design and software engineering.
What you will do:
- Support the research effort to help develop Dataiku’s new ML products.
- Design, code, and test machine learning pipelines on real life problems.
- Manage scientific programs and activities at Dataiku AI Lab.
- Contribute to the applied research machine learning community (seminars, conferences, publications).
You might be a good fit if you have…
- MSc/PhD degree in Statistics, Machine Learning, related field or equivalent practical experience.
- 5 years + relevant work experience in the position.
- Strong coding skills in Python and good knowledge of a Deep Learning framework (keras, pytorch, tensorflow).
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success.
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.