Models and experiments that answer a product question for a US team.
You answer a product question with data a US team can use. A piece of work ends in a metric, a decision, or a model the product can run. A notebook that nobody else can rerun is not the deliverable.
What you do on the team On a placement, this is the work the US team expects.
Answer a product question with a metric and a decision
Write the analysis so someone else can rerun it
Check the result against the source data
Use AI tools to draft a query or a notebook step, then check the result against the source data
Hand off a model or a finding the product can use
A notebook that nobody else can rerun is not the deliverable
The stack Python
SQL
The warehouse the team uses
pandas or the library the repo already uses
The metric the decision depends on
A way for someone else to rerun the analysis
What we look for Python for analysis and modeling
Experiments with a clear metric and a decision at the end
Data a report can trust, not a one-off notebook
5 or more years in data science or engineering
How we check We review work you have shipped. A keyword on a resume is not enough. You need advanced or fluent English.



You will be in standups, code reviews, and Slack with a US team. You use AI tools to draft a query or a notebook step, then you check the result against the source data. Every engineer is assessed on the four-level AI fluency scale before a client meets them. See the four levels .
How a placement runs You join the client team and work in their repo, their standups, and their code reviews. You work US business hours from Mexico, Costa Rica, Colombia, Peru, Brazil, Chile, Argentina, or Uruguay. The placement is almost always a full-time contract. You are paid the same amount every month in US dollars. The monthly invoice is for bookkeeping. Candidates never pay to apply or to join. How joining works .
BetterEngineer introduces senior engineers in Mexico, Costa Rica, Colombia, Peru, Brazil, Chile, Argentina, and Uruguay to US product teams. You work in the client repo. Candidates never pay anything.
How joining works Create a profile. We review your technical work, your English, and your AI fluency, then introduce you when a client asks for your skill.

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📌 Data science engineer (Nezahualcóyotl)
🏢 BetterEngineer
📍 Nezahualcóyotl