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Data Scientist – Paris

CATL · Ville de Paris

Mid 🇬🇧 English
Python Pandas ML frameworks big data libraries statistical modeling time-series forecasting clustering algorithms

Job description

About the role

We are looking for a Data Scientist to join our battery research team in Paris. You will work closely with the Ningde algorithm R&D group to develop and validate machine‑learning models that monitor key battery parameters and improve performance forecasting.

Key responsibilities

  • Analyze raw product and physics data to extract actionable insights.
  • Design and implement Python‑based machine‑learning models for battery parameter monitoring.
  • Develop time‑series forecasting and clustering algorithms.
  • Use AI‑assisted code‑generation tools to accelerate model development and reporting.
  • Validate models against real‑world battery performance data.
  • Collaborate with the Ningde R&D team to create scalable solutions.

Required profile

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics or a related field.
  • At least 3 years of professional experience in machine‑learning or data‑science roles.
  • Fluent English; French or Mandarin is a plus.

Required skills

  • Advanced Python programming, especially Pandas.
  • Experience with ML frameworks and big‑data libraries.
  • Statistical modeling, time‑series forecasting, and clustering techniques.
  • Familiarity with AI‑assisted code‑generation tools.
  • Domain knowledge of battery or energy data is advantageous.

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Published 3 months ago

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CATL

Ville de Paris