Responsibilities
- Frames business problems as data problems
- Builds and validates predictive and segmentation models
- Designs and analyzes experiments
- Communicates results and impact to the business
2027 rates · Latin America
Hire Data Scientists in Latin America
A data scientist uses statistics and machine learning to predict, segment and optimize business decisions. Their value is turning data into models that move results, and Latin America has professionals with strong quantitative training and experience in fintech, retail and healthcare.
- 72-hour shortlist
- Start in ~5 days
- Talent in 18 countries
Rates 2027
How much does it cost to hire a Data Scientist in Latin America? (2027)
A semi-senior Data Scientist costs about $4,250–$5,938 per month through Interfell, all-in (salary $3,400–$4,750 with advanced English).
| Seniority | Tier 1Brazil, Chile, Costa Rica, Mexico, Uruguay | Tier 2Argentina, Colombia, Peru, Guatemala, Panama | Tier 3Bolivia, Ecuador, El Salvador, Honduras, Nicaragua, Paraguay, Venezuela |
|---|---|---|---|
| Junior | $3,000Salary $2,400 | $2,875Salary $2,300 | $2,500Salary $2,000 |
| Semi Senior | $5,938Salary $4,750 | $5,313Salary $4,250 | $4,250Salary $3,400 |
| Senior | $7,500Salary $6,000 | $7,375Salary $5,900 | $5,938Salary $4,750 |
USD per month. Large figure: monthly cost with Interfell (all-in). “Salary”: the professional’s pay with advanced English, for profiles working with US companies (English premium of 15% in Tier 1, 25% in Tier 2 and 30% in Tier 3 over the LATAM base).
How the price works (80/20). With Interfell remote staffing, 80% of the monthly invoice is the professional’s pay and 20% is Interfell’s fee (equivalent to adding 25% to the salary). Contracts, payments and local compliance in one invoice.
Updated: October 2026 · Source: Interfell LATAM IT Salary Guide 2027 · See the full salary guide.
The role
What a Data Scientist does
Skills and stack
- Python (pandas, scikit-learn)
- SQL
- Statistics and inference
- Regression, classification and time series
- Jupyter and visualization (matplotlib, seaborn)
- XGBoost or LightGBM
- Model deployment basics
Vetting
What to assess
In the interview and technical test
- Case study with a dataset and a business question
- How they validate a model and avoid data leakage
- How they explain a result and its uncertainty to the business
- Projects that reached production and their impact
How Interfell helps
Every shortlist comes pre-vetted for English level, technical depth and fit with US teams. You get candidates in about 72 hours and your hire can start in roughly 5 days.
Levels
Seniority levels
Junior
Explores data and trains models with guidance.
From $2,500/mo with InterfellSemi Senior
Runs modeling projects end to end independently.
$4,250–$5,938/mo with InterfellSenior
Sets the data science agenda and the team methodology.
Up to $7,500/mo with InterfellHiring models
How to hire with Interfell
Remote staffing
Interfell contracts, pays and administers the professional in their country. You get one monthly invoice and unlimited replacements at no extra cost while the service runs.
Remote staffing →IT recruiting
We find and vet the candidate; you hire them directly under your own contract. Includes a 60-day replacement guarantee.
IT recruiting →Plans and pricing
Compare plans and fees for staffing and recruiting, and pick the model that fits your team and budget.
See plans →FAQ
Hiring Data Scientists: common questions
How much does it cost to hire a data scientist in Latin America?
It depends on seniority and the country tier you hire in; the table on this page shows the monthly cost for each combination. With Interfell staffing, 80% of the monthly invoice is the professional’s pay and 20% is Interfell’s fee. US-facing profiles with advanced English earn a premium.
How long does it take to hire a data scientist?
Interfell presents a first shortlist within 72 hours, and the hire can usually start in about 5 days.
Data scientist or machine learning engineer?
A data scientist focuses on analysis and building the right model. A machine learning engineer focuses on getting models into production and keeping them running. If you do not yet know which model you need, start with a data scientist.
Related roles
See Data Scientists available today.
Real candidates from 18 countries, vetted for US teams. Shortlist in 72 hours, start in about 5 days.
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