(Senior-) Data Scientist (f/m/d)

Berlin, Germany - full-time, permanent, partially remote possible

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The Role

We are looking for a (Senior-) Data Scientist who is excited to join us in building the first global supplier search. We believe that the Data Scientist plays a crucial role in the development of cutting-edge artificial intelligence-powered products, and collaborate across multiple teams to accomplish that. Your role will primarily involve framing business problems, researching and selecting advanced Natural Language Processing (NLP) machine learning models, and leveraging your expertise in data collection, processing, feature engineering, and production-ready solutions. You’ll be responsible for keeping track of the development of machine learning models to improve our products and aligning with the Product team regarding Data Science development goals. You will also have the opportunity to work with our Founders, Machine Learning Engineers, Data Engineers, and Software Engineers to understand the core business problems and provide the right solutions.

We mainly work with Python, VertexAI, Airflow, Docker, Flask, and Github CI/CD. We are open to using other technologies and are excited to expand our tech stack. In addition, we believe in learners with a growth mindset, so feel free to apply even if you don’t know all of these technologies.

What we offer

Your responsibilities

You will conceptualize, build, and maintain NLP models for different steps in our data lineage. You will become the owner of one or several data projects and orchestrate them together with Machine Learning Engineer/Data Analysts / Data Engineers. Your focus will be some of the following:

Your experience

 What we value

If you’re an expert data scientist who loves greenfield projects, we’d love to talk to you!

Alpas is proud to be an equal-opportunity employer. We view diversity as a moral imperative and competitive advantage. We are committed to equal employment opportunities regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please let us know.