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Est. Monthly
Estimated €6,908 - €7,536
Posted January 30, 2026 · 193 days agoLast seen August 7, 2026Est. expiry March 6, 2026

Data Scientist

Member of Engineering (Pre-training / Data Engineering) — Poolside
Remote - EMEA
Remote · Data
Full-time · Mid-Level
English
No People Management
Bachelor
3 years experience
How this salary compares
Salary Context: Data Scientist

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("All roles in Remote - EMEA"), this listing's salary midpoint is about 39% lower. The offer still falls within the benchmark range (€3,762–€23,688). The listed pay band (€7,958–€8,681) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 3 comparable listings.

Monthly salary comparison for Data Scientist
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
Market Average: Data Scientist€3,680/per month€6,108/per month€8,809/per month
All roles in Remote - EMEA€3,762/per month€13,817/per month€23,688/per month
Pay in our data — not quoted in ad (Mid-Level)€7,958/per month€8,320/per month€8,681/per month
About the role

Join Poolside as a core member of the Pretraining Data team, responsible for building and scaling high-performance data pipelines for large-scale model training. Focus on data ingestion, deduplication, and streaming systems at petabyte scale to support AI research and development.

Job Details

Responsibilities

  • Build high-performance data pipelines
  • Deliver diverse datasets for training
  • Collaborate with research and engineering teams

Requirements

  • Experience with distributed data systems
  • Knowledge of orchestration tools (Slurm, Airflow, Dagster)
  • Proficiency in Python
  • Experience with GPU clusters and distributed pipelines
  • Knowledge of libraries like Polars, Dask, PySpark

Skills & Technologies

Distributed data systemsPythonGPU clustersPolarsDaskPySpark

Education Level

Bachelor

Recruitment Process

  1. 1
    Intro call
  2. 2
    Technical interview
  3. 3
    Team fit interview
  4. 4
    Final interview
Seen 5 days agoContent Complete
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