Data science engineer

This is not a single opening. When a US company asks for this skill, we introduce engineers from the network. Active client openings are on LinkedIn.

What this work is

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.

Hiring data science engineers.

Updated November 9, 2026.