Senior Data Scientist

Epassi is growing and we are looking for a full-stack applied Senior Data Scientist who can use data science techniques to solve customer problems and contribute to development of our AI-first products.

As a Data Scientist, you will be responsible for:

·AI-powered features within our products together with software developers, product managers and data engineers, all the way from pitching an idea to monitoring the model performance in production

·Supporting the development and deployment of classical ML models, such as predictive models and forecasts

·Acting as a domain expert in AI-related topics

·Working together with the rest of the team to improve the way-of-working and tooling around data & AI

·7+ years of work experience in applied data science in business environment

·Hands-on experience of designing, developing and deploying AI-powered, customer-facing product features to production (e.g. chatbots and OCR applications)

·Experience with cloud platforms (AWS, Azure) and AI/ML features of Databricks

·Excellent Python skills

·Willingness to work in a fast-paced and change-heavy environment

·Great collaboration skills and eagerness to work in a cross-functional team

·Working proficiency in English

·We want to build AI-first products - in this role, you will directly contribute to this highly important company goal ·We offer a front-row seat to a fast-growing tech company ·We have an inspiring & supportive culture, and we take care of the wellbeing of our employees ·We care about your work-life balance ·We take care of the professional development of Epassians by creating a personal development plan individually and supporting development by providing a yearly budget ·We have a unique team environment - international, motivated, supportive colleagues with a great sense of humor The role is either hybrid or remote, depending on your location - Epassi has offices across Europe. The data & analytics team, as well as the product development teams who you will collaborate closely with, work in multiple different European countries.