Data Scientist - REMOTE Brussels Belgium

Data Scientist - Applied ML & Algorithmic Reasoning - REMOTE in Brussels Belgium (EU & UK Candidates)

JOB LOCATION: REMOTE Brussels Belgium

5-10 years' experience

RATE: EUR 400 - EUR 500/EUROS PER DAY

LANGUAGES: French or English

Qualification with Manager

Important things to qualify for Norstella roles please also find questions below.

1. Algorithmic & critical thinking - Must-have Can structure a problem, justify modelling choices, reason independently. The #1 differentiator in interviews.

2. LLM/NLP applied knowledge - Must-have Transformers, embeddings, fine-tuning, RAG - deep hands-on understanding, not surface-level familiarity.

3. Production-level Python - Must-have Clean, testable, readable code. Not notebook dumps. Others can maintain what you write.

4. Statistical rigor - Must-have Hypothesis testing, metric selection, model validation - knows when a model is actually valid vs. just performing.

5. Self-starter mindset - Important Asks questions, challenges assumptions, goes beyond task execution. Not waiting to be told what to do.

6. Ground-level hands-on work - Important 2-5 years applied experience. Not academic, not managerial. Comfortable doing the actual work.

7. FastAPI/embedding serving - Nice to have Bonus points. Experience exposing models or serving embeddings at scale.

8. MLOps/CI-CD - Nice to have Experiment tracking, model registries, deployment pipelines. Helpful, not a filter.

9. Cloud (AWS/GCP/Azure) - Nice to have Cloud-agnostic environment. Any exposure is a plus, no hard requirement.

Project Overview

• The client is currently building a new Data Science team (approx. 6-7 people)
• The team will be distributed globally (Americas, Europe, Asia)
• Our focus is on Europe-based candidates

Location & Setup

• Fully remote positions
• Open to candidates across Europe (eg Poland, Italy, Belgium, UK, etc.)
• Cost-effective locations are strongly preferred

Hiring Manager

• Very hands-on and detail-oriented

• Strong focus on:

• Technical capabilities

• Critical thinking skills

1. Algorithmic & critical thinking - Must-have Can structure a problem, justify modelling choices, reason independently. The #1 differentiator in interviews.

2. LLM/NLP applied knowledge - Must-have Transformers, embeddings, fine-tuning, RAG - deep hands-on understanding, not surface-level familiarity.

3. Production-level Python - Must-have Clean, testable, readable code. Not notebook dumps. Others can maintain what you write.

4. Statistical rigor - Must-have Hypothesis testing, metric selection, model validation - knows when a model is actually valid vs. just performing.

5. Self-starter mindset - Important Asks questions, challenges assumptions, goes beyond task execution. Not waiting to be told what to do.

6. Ground-level hands-on work - Important 2-5 years applied experience. Not academic, not managerial. Comfortable doing the actual work.

7. FastAPI/embedding serving - Nice to have Bonus points. Experience exposing models or serving embeddings at scale.

8. MLOps/CI-CD - Nice to have Experiment tracking, model registries, deployment pipelines. Helpful, not a filter.

9. Cloud (AWS/GCP/Azure) - Nice to have Cloud-agnostic environment. Any exposure is a plus, no hard requirement., * Very hands-on and detail-oriented

• Strong focus on:

• Technical capabilities

• Critical thinking skills