Senior Data Scientist - Mexico City

CHEP, A Brambles Company

Mexico City, Mexico
Hybrid
Python data libraries (pandas, scikit-learn, tensorflow)
Machine learning models (time series, clustering, regression)
Sql experience (complex queries)
Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms

Job Summary

  • Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms.
  • You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner.
  • Maximize your work-life balance and flexibility through our Hybrid Work Model.

Matching Summary

Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms.

Skills & Requirements

Must-have

  • Python data libraries (Pandas, Scikit-Learn, Tensorflow)
  • Machine learning models (time series, clustering, regression)
  • SQL experience (complex queries)
  • LLMs and Agentic workflows
  • Data management and statistical analysis
  • GenAI and Agentic workflows

Nice-to-have

  • Adaptability
  • Empathy
  • Customer oriented
  • Diplomatic and sensitive
  • NLP and computer vision

Key Requirements

  • Minimum of 5 years’ working experience in a similar role
  • Previous data science experience applying advanced algorithms
  • Experience with LLMs and Agentic workflows
  • Experience with measures and KPIs
  • Working on remote teams
  • Proved experience with Project Management
  • Experience with process automation and workload reduction
  • Experience implementing data new solutions from scratch
  • Experience with change management
  • Experience with software development (applied to data science)

Work Rights

Not specified

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