Vetted, bilingual data scientists from Latin America. Ready to build forecasts and predictive models, analyze your experiments, and turn your data into decisions your team can act on, on US hours.
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Hires placed since 2021
US companies
Placement fees, ever
To first shortlist
Vetted talent
Data scientists who go past the dashboard, from the churn model and the demand forecast to the experiment that settles a debate.
Your data scientist turns a business question into a measurable problem and agrees the success metric with you first.
Data is pulled with SQL from your warehouse and tools, then cleaned and joined into a dataset a model can learn from.
Churn, lead scoring, segmentation and demand forecasting models are built in Python and tested on your own history.
A/B tests are designed with a clear metric and sample size, and results are read with the right statistics.
Results are written up in plain language, including what the model can and cannot tell you.
Models in use are monitored and retrained as your data changes, so predictions stay reliable.
We match each hire to the apps you already run.
A sample of profiles, each interview ready with role, country, and English level.
Monthly and annual cost examples at this role’s displayed starting rate, based on 160 billed hours per month.
Both timelines run from your first call in calendar hours, including weekends.
A data scientist builds models and forecasts on top of your data. For dashboards and recurring reports, see our data analyst page; for scripts and data pipelines, see our Python developer page.
Putting models into your product? See our machine learning engineer and AI developer pages, or our financial services industry page.
48-hour shortlist. 72-hour start. From your first call, including weekends.
