Senior Data Scientist

locationsHybrid - BerlinRemote - Europetime typeFull timeposted onPosted Todayjob requisition idJR100456

CoachHub is on a mission to democratise coaching for all career levels worldwide. We need an amazing team to achieve this, so we’re bringing together kind, smart and highly-skilled people from all corners of the globe.

If you'd like to shape the success story of a fast-growing, award-winning company and the leading global digital coaching platform - get in touch!

About the Data & Insights team

We are a remote first team (Spain, France, Germany, Austria, Italy). The team is composed of a group of talented Data Engineers, Data Scientists Machine Learning Engineers and Full Stack Engineers.

What We Value : Autonomy

Proactiveness

Learning from Mistakes

Making an Impact

Collaboration

Our Golden Rules

Move Fast (Iterate)

With High Quality

And true ownership

We are seeking a skilled and motivated Senior Data Scientist to drive the personalization aspects of an AI-based product. This role focuses on building a knowledge graph and recommendation models that drive personalized interactions for each user.

The role requires a strong foundation in machine learning, graph-based data representation, and personalization strategies, along with some understanding of deploying AI models in production environments.

The top 5 things you would be involved in when you join.

Design and maintain a knowledge graph that captures meaningful relationships between entities.

Develop recommendation systems tailored to individual user preferences.

Implement sentiment analysis algorithms

Work with a multi-agent architecture, enabling AI-driven decision-making and adaptability.

Work with different in-house developed machine learning models

Our Tech Stack

Strong experience in Knowledge Graphs, entity recognition. DBs can be Neo4J, AWS Neptune, ArangoDB. Query languages would be SPARQL, Gremlin, openCypher

Strong experience in NLP (text classification, sentiment analysis)

Experience in Model evaluation (understand the different performance metrics) and model deployment (TensorFlow, PyTorch, Flask, FastAPI)

Experience in Recommendation models

Knowledge of LLM and Generative AI experience. Chatbots, RAG, prompt engineering, agents.

Knowledge of AWS (Lambda, ECS, S3)

Location : remote within the EU