Senior ML Scientist — End-to-End Pipelines in the Cloud

Baxter Planning Systems, Inc.; Barcelona; Híbrido; EUR 55.000 - 90.000; Jornada completa

Descripción de la vacante

Baxter Planning Systems, Inc. is seeking a data scientist to develop end-to-end ML solutions in a remote-friendly Barcelona-based team. You will design experiments, build end-to-end pipelines in Python, and collaborate with product teams to deliver AI-powered improvements.

You will leverage Pandas, scikit-learn, TensorFlow, XGBoost, and cloud environments (AWS). A technical degree and 3+ years in data science are required; strong Python, SQL, and version control skills are essential.

Formación

• Technical degree in engineering, CS, physics, maths, or quantitative economics.
• 3+ years of data science experience evidenced by projects or employment.
• Advanced Python programming skills.
• Experience with version control (Git).
• Strong SQL skills for data manipulation and querying.
• Proven ability to develop and maintain ML models.
• Experience with ML libraries: Pandas, scikit-learn, TensorFlow, XGBoost.
• Experience with AI-assisted coding tools such as Claude Code, Codex or Cursor.

Responsabilidades

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

Conocimientos

3+ years data science

Advanced Python

Version control (git)

Advanced SQL

Proficiency in ML models

Pandas

sklearn

TensorFlow

XGBoost

AI assisted coding tools

Educación

Technical degree: engineering, computer science, physics, maths, quantitative economics

Herramientas

Pandas

scikit-learn

TensorFlow

XGBoost

Darts

Claude Code

Codex

Cursor

Descripción del empleo

Baxter Planning Systems, Inc. is seeking a data scientist to develop end-to-end ML solutions in a remote-friendly Barcelona-based team. You will design experiments, build end-to-end pipelines in Python, and collaborate with product teams to deliver AI-powered improvements.

You will leverage Pandas, scikit-learn, TensorFlow, XGBoost, and cloud environments (AWS). A technical degree and 3+ years in data science are required; strong Python, SQL, and version control skills are essential.