Senior Data Scientist (Remote) - AI/ML Pipelines in the Cloud

Baxter Planning

Barcelona

Remote

EUR 60,000 - 90,000

Full time

34 hours ago
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Job summary

Baxter Planning is seeking an experienced data scientist to deliver end-to-end ML solutions in a primarily remote Barcelona-based role. You will build models, run experiments, create scalable ML pipelines and collaborate with product teams to deploy in the cloud.

The ideal candidate has 3+ years in data science, strong Python and SQL, and hands-on experience with ML libraries and AI-assisted coding tools. We value innovative peers and a supportive work culture.

Qualifications

  • 3+ years of experience in data science.
  • Advanced Python programming.
  • Version control with Git.
  • Advanced SQL.
  • Proficiency in developing and maintaining ML models.
  • Experience with data/ml libraries such as Pandas, scikit-learn, TensorFlow, XGBoost, and others.
  • Experience with AI-assisted coding tools.

Responsibilities

  • Develop end-to-end ML solutions using Python.
  • Create and run experiments to evaluate AI/ML solutions.
  • Build and maintain end-to-end ML pipelines.
  • Collaborate with customers and product teams to craft ML-based solutions.
  • Deploy and maintain ML solutions in cloud environments (AWS).

Skills

Python programming
Data science
AI/ML modeling
SQL
Git Version Control
Cloud deployment
ML model development

Education

Technical degree in engineering / computer science / physics / maths / quantitative economics

Tools

Pandas, scikit-learn, TensorFlow, XGBoost
AWS
Claude Code / Codex / Cursor

Job description

Baxter Planning is seeking an experienced data scientist to deliver end-to-end ML solutions in a primarily remote Barcelona-based role. You will build models, run experiments, create scalable ML pipelines and collaborate with product teams to deploy in the cloud.

The ideal candidate has 3+ years in data science, strong Python and SQL, and hands-on experience with ML libraries and AI-assisted coding tools. We value innovative peers and a supportive work culture.

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