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← Cobre

Technical Lead, Data Science

Cobre
Location
LATAM
Posted
26 days ago
Department
Data
What they actually want (must-haves)
  • Master's or Ph.D. in Statistics, Mathematics, Physics, Econometrics, Machine Learning, or a related quantitative field
  • Deep command of inferential statistics, probability, experimental design, and causal inference
  • Strong coding skills in Python
  • Experience with data infrastructure tools like Snowflake
  • Proficiency with standard ML libraries
  • Experience with deep learning frameworks like TensorFlow and PyTorch, specifically for training and fine-tuning large language models (LLMs)
Nice to have
  • Knowledge of the Colombian and/or Mexican financial market and their regulatory frameworks
What the job really is

As a Technical Lead in Data Science at Cobre, you will ensure that the team's models and analyses are grounded in solid statistical foundations. This hands-on role involves mentoring data scientists, conducting peer reviews, and directly addressing methodological challenges. You will also design advanced statistical methods to solve business problems and communicate complex results to various stakeholders.

Things to weigh
  • This role emphasizes statistical design and model validity over MLOps or deployment infrastructure, which may limit exposure to certain areas of data science.
  • The position requires hands-on involvement in resolving methodological issues, which may lead to a high-pressure environment during deadlines.
  • No specific salary or benefits information is provided in the posting.
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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