Senior Data Scientist: AI & Production ML Lead

Slashhash; Amsterdam; Hybrid; EUR 90,000 - 140,000; Full time

Job summary

Samba TV in Amsterdam is seeking a Senior Data Scientist to lead modeling methodology and production ML systems. You will drive end-to-end data science projects from scoping to deployment and mentor junior team members.

You will build and operate AI systems using RAG, LLM-augmented modeling, and graph neural networks, integrating LLMs into production pipelines and collaborating with Data Engineering to ensure robust data delivery.

Qualifications

• 8+ years of experience in data science or related field.
• Proven track record delivering end-to-end data science projects.
• Expertise in ML, Python, PySpark, and Databricks.

Responsibilities

• Own end-to-end delivery of data science projects from problem scoping through production deployment.
• Define and ship modeling methodology for data products.
• Build production-quality Python and PySpark on Databricks.
• Partner with Data Engineering to define data requirements and validate pipelines.
• Build and operate AI systems using RAG, LLM-augmented modeling, and Graph Neural Networks.
• Integrate LLMs and agentic workflows into production ML pipelines.
• Drive technical design for modeling components.
• Translate business requirements into modeling solutions.
• Mentor data scientists through structured feedback and design review.
• Establish and operate MLOps practices: experiment tracking, pipeline orchestration, model monitoring.

Skills

communication

mentoring

collaboration

problem solving

critical thinking

Tools

MLOps

Weaviate

vector databases

Airflow

Python

pgvector

Delta Lake

SQL

GCP

Pinecone

Milvus

AWS

Databricks

PySpark

Job description

Samba TV in Amsterdam is seeking a Senior Data Scientist to lead modeling methodology and production ML systems. You will drive end-to-end data science projects from scoping to deployment and mentor junior team members.

You will build and operate AI systems using RAG, LLM-augmented modeling, and graph neural networks, integrating LLMs into production pipelines and collaborating with Data Engineering to ensure robust data delivery.