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Nearshore tech talent

Hire a Data Scientist in LATAM. Save an estimated 58%.

Data Scientists find patterns, build models and answer business questions with data. They help you decide with evidence instead of instinct.

  • Time zone overlap
  • English-speaking
  • Recommendation in 7 days
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The role

What a Data Scientist does.

A Data Scientist combines statistics, programming and business sense. They explore your data, test hypotheses, build predictive models and explain the results in plain language to the people who make decisions. Teams usually bring one in to forecast demand, reduce churn, price better or measure what really drives growth.

Typical responsibilities

  • Explore and clean data to answer specific business questions.
  • Build predictive models for churn, demand, pricing or risk.
  • Design and analyze A/B tests and experiments.
  • Translate results into clear recommendations for decision makers.
  • Build dashboards and reports to track model impact.
  • Work with engineers to put models into production.
  • Keep analyses reproducible, documented and easy to review.

Skills & technologies

Languages

  • Python
  • SQL
  • R

Libraries

  • Pandas
  • scikit-learn
  • Statsmodels
  • XGBoost

Methods

  • Statistics
  • A/B testing
  • Forecasting
  • Machine learning

Platforms

  • Jupyter
  • Databricks
  • Snowflake
  • BigQuery

Visualization

  • Tableau
  • Power BI
  • Matplotlib

Nearshore staffing for U.S. companies

Build your tech team in LATAM. Pay 50–70% less.

The best candidates in tech and AI, hand-picked for your role and supported by a founder-led boutique.

Start Hiring How it works

This could be your next tech team.

5 countries · 1 team
  • 01
    Team Lead

    Florencia Echeverría

    Tech Lead

    Argentina

  • 02

    Lucas Almeida

    Full-Stack Developer

    Brazil

  • 03

    Camila Pereyra

    AI Engineer

    Uruguay

  • 04

    Santiago Restrepo

    Data Engineer

    Colombia

  • 05

    Tomás Fuentes

    QA Automation Engineer

    Chile

Built around your role, your stack and your goals.Build a team like this

Two ways to hire

Managed Talent or Direct Hire?

Both include our search and our recommendation. The difference is who runs the relationship after the hire.

Our main service

Managed Talent

Build or grow a team. We run the staffing around it.

  • Best forBuilding or growing a team
  • How you payOne all-in monthly invoice
  • Hiring setupWe coordinate it, plus payments
  • Ongoing supportIncluded
  • ReplacementsFor as long as you work with us
Explore Managed Talent
One-time search

Direct Hire

We find your next hire. You hire them directly.

  • Best forA single role, remote or on-site
  • How you payOne-time fee, from 12.5% of annual salary
  • Hiring setupYou hire and manage directly
  • Ongoing supportYou run the relationship
  • Replacements180-day guarantee
Explore Direct Hire
Germán Gioffre, Founder and CEOAgustina Franzi, Founder and COO

Your first call is with Germán or Agustina.

You work directly with us, from the first call to the day your team starts.

Germán Gioffre, Founder & CEO
Agustina Franzi, Founder & COO

Book a call About us

Related roles

Often hired alongside a Data Scientist.

See all 32 roles
Machine Learning EngineerTrains, tunes and deploys machine learning models to production. Data AnalystTurns raw data into clear reports and insights. Data EngineerBuilds the pipelines and warehouses that keep your data reliable. AI EngineerDesigns and ships AI features into your products and internal tools. BI SpecialistBuilds dashboards in tools like Power BI, Tableau and Looker.
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