We are a fast growing data-heavy scale-up with a mission to empower smaller E-commerce businesses to have the same opportunities as larger businesses for customer retention, acquisition and loyalty. With our Customer data platform we provide shops with valuable data insights enriched by our custom-built predictive engine. With our Influencer marketing platform we connect shops with influencers to promote products and activate these data insights.
Participating in the strategy and development, as well as the application of data science methodology.
Supporting existing ML models & developing new ones.
Working with data pipelines in AWS infrastructure.
Supporting relational databases.
Researching scientific approaches, drawing insights from different data sets, and applying relevant algorithms pragmatically.
Assisting with data-related technical issues and supporting data infrastructure needs.
A master/ PhD degree in Computer Science, Informatics, Information Systems or other quantitative fields with +3 years of professional experience as a data scientist.
Strong programming skills in Python with an understanding of software engineering principles.
Experience with machine learning & deep learning frameworks (e.g. TensorFlow, PyTorch, Keras, scikit-learn and others).
Experience working with ML cloud tools like AWS Sagemaker
Basic experience with a broad tech stack including relational databases, cloud services (preferably AWS ECS, EC2, S3), CI/CD, repositories, version controls and containerization would be considered an asset.
Self-driven, responsible and confident working with a high degree of freedom.
Great at attaining knowledge independently and having an eye for the bigger picture.
Good overall communication skills. Great in English, both written and verbal.
Comfortable collaborating and working remotely.
Remember that you do not need to fulfill all the requirements 100%. We are aware that it is impossible to know everything, especially in a dynamic field like machine learning. But we would be happy to receive your application if the majority of the requirements described above are familiar to you.
We strive to be as remote as possible however we would like you to be close to one of our offices so we can meet on a regular basis.
If this sounds right to you, don't hesitate to send us your application.
We are super excited to hear from you, and will fill the role as soon as we find the best match for our team!