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

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

• Working in a fast-paced environment with challenging tasks (zero-boredom-guarantee)
• High ownership and the freedom to manage your own projects
• Direct collaboration with the founders – true flat hierarchy
• Rapid professional development & leadership opportunities with a steep learning curve
• Awesome team events and an inclusive company culture with a diverse team

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:

• Expand our hand-tailored framework for data extraction and processing
• Understand the nuances of our data extraction problems and propose solutions
• Implement solutions using proven State of the Art techniques
• Enable automated data extraction pipelines by training and deploying models on our data infrastructure
• Implement statistical evaluations for every model to keep track of the progress both short and long term
• Prepare technical and non-technical presentations of implemented models

Your experience

• 3+ years of NLP Data Science work experience or similar
• Extensive experience with Python and one of the modern deep-learning libraries
• Extensive experience with NLP algorithms, e.g. NER, PoS, Embedding, Translation, Taxonomy, Topic Modeling, Sentence Classification, NMT,…
• Experience with deploying models in production environments
• Experience with, or strong interest in real-world, unstructured data of various formats
• Nice-to-have skill sets:
  • application containerization, e.g. Docker
  • data pipelining or workflow orchestration, e.g. Airflow, Kubernetes
  • model monitoring in production
  • LLM understanding and hands-on experience
  • Experience with small teams in fast-paced environments
• Bonus: experience in procurement, logistics, or manufacturing

 What we value

• Honest, fast, and open collaboration as well as strong communication skills
• Resourceful self-starters who hold themselves to high standards, have
  attention to detail, are intrinsically motivated & eager to learn on a daily basis
• Proactive hands-on working style with a passion for customer-facing tasks
• Team members who are excited about our mission & tech
• Shared success through stock options and competitive salaries

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.