Senior Data Scientist

Samba TV

Amsterdam

2 days ago

Amsterdam

2 days ago

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Senior Data Scientist

Samba TV is hiring a Senior Data Scientist in Amsterdam to lead modeling methodology, build production ML systems, and integrate AI/agentic capabilities. The role requires 8+ years of experience, expertise in ML, Python, PySpark, and Databricks, and a track record of delivering end-to-end data science projects.

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Hybrid

Full-time

Senior

Python

PySpark

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

8 years

Employment Type

Full-time

Experience Level

8+ years hands-on experience

Core Qualifications

Technical (Must-have)

PythonPySparkSQLDatabricksDelta LakeAirflowAWSGCPMLOpsvector databases

Soft Skills

communicationmentoringcollaborationproblem solvingcritical thinking

Tools (Must-have)

DatabricksAirflowPineconeWeaviateMilvuspgvector

Preferred Qualifications

Technical (Nice-to-have)

RDFOWLSPARQLNLPcausal inferencead techCTVOTTACR

Key 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.

Senior Data ScientistMachine LearningAIPythonPySparkDatabricksMLOpsAdvertisingAmsterdamHybrid

Key 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.