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Cobre

Technical Lead, Data Science

Cobre · LATAM

Posted 22 days ago

or apply directly on Cobre's site. We never take the application ourselves.

Is this posting real?

This role has been open
22 days
Cobre's roles stay open a median of 43 days
Reposted
No
Salary listed
No
0% of Cobre's roles list one
Ghost-job risk at Cobre
high
9 stale, 0 reposted of 21 open
Hiring momentum
29 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Cobre's own greenhouse board since 2026-08-03. Full hiring picture for Cobre.

About this role

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.

Our read on this posting3.0out of 5
benefits
1/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Cobre as an employer.

What you need

  • 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

Worth weighing

  • 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.

Summarised from Cobre's posting. Read the full original.

Listed by Cobre on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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