About Crownpeak
At Crownpeak, we provide a cutting-edge, composable Digital Experience Platform (DXP) that helps global enterprise and retail organizations enhance their digital presence and drive growth. Our platform enables the rapid creation of tailored digital experiences through the combination and orchestration of best-in-class content marketing tools, resulting in powerful customer engagement and long-term loyalty.
Our solution is unique in that it’s designed to streamline and accelerate marketing and IT workflows, allowing teams to efficiently deliver and manage end-to-end digital experiences to any touchpoint, device or channel from the start, faster than ever before.
Our mission is to revolutionize the digital landscape for global enterprises and retail organizations. We do this by providing a customizable and composable platform that seamlessly blends speed, simplicity, and adaptability in crafting unique, accessible digital experiences that align with the evolving needs of their customers. Our ultimate goal is to drive customer satisfaction and loyalty through unparalleled digital experiences.
Our vision is to transform the digital realm by crafting a platform that embodies speed, simplicity, and adaptability. We aim to empower businesses to effortlessly respond to the ever-changing demands of their customers, promoting inclusivity through exceptional digital experiences.
Join us and make an immediate impact in the digital world.
What’s the role?
As a Senior Data Scientist, you will play a critical role in developing Crownpeak machine learning techniques and data processing components. The ideal candidate will have a strong background in machine learning techniques and algorithms, working on assignments that include moderately complex areas of the product.
What will you do?
- Select features, build and optimize classifiers using machine learning techniques
- Develop the current models and provide suggestions for new models to be created
- Perform ad-hoc analysis and present results in a clear manner where necessary
- Conduct research on the status of machine learning on various domains (NLP, Visual computation...) to be applied within Crownpeak
- Act as a role model for other team members and interact effectively with other functional teams
- Occasionally act as task supervisor, capable to investigate and resolve most issues
- Proactively support members of the team with their tasks and mentor less experienced team members
- Document and test their own work and review the documentation and testing of junior team members
- Take part and contribute to knowledge sharing sessions with the immediate and other teams
Who are you?
- Expert knowledge of machine learning techniques and algorithms
- Expertise in deep learning theory, recommendation engine, search engine, computer vision, natural language processing, reinforcement learning, self-supervised learning, and optimisation theory
- Experience with common data science toolkits and data visualisation tools
- Proficient in using data query languages
- Expert with Python
- Experienced with no-SQL databases and software development standards, processes and tooling
- Experience in open source models and LLMs
- Strong quantitative skills
- Strong written and verbal communication skills
Our Culture
We offer competitive salaries, great colleagues and excellent benefits.
We strive for success, are always pushing to do better, and work with pride and purpose together. You can see them in action in all aspects of our everyday work.
Today we are a 350+ team headquartered in the US with offices in Colorado, London, Paris, Amsterdam, Dortmund, Sofia and Sydney.
Check out more about life as a Crownpeep on Linkedin and Instagram @crownpeak.
Crownpeak is proud to have a widely diverse team. We are committed to creating an inclusive environment where everyone, whoever they are, feels comfortable to be themselves and each person is valued for their skills, experiences, and unique perspectives.
Crownpeak celebrates all talents. All of our positions are open to people with disabilities and we give them the means and opportunity to express all of their skills.
*By applying for this position, you are agreeing to our Candidate Privacy Notice.
