Data Scientist
Unlock Predictive Power with Nearshore Data Scientists Who Drive Smarter Decisions
Data Scientists design, build, and maintain the modern data stacks that power analytics, AI, and real-time applications. They transform raw, fast-moving data into governed, analytics-ready assets, ensuring every downstream consumer can trust the data and move faster. From streaming ingestion to lakehouse modeling, they create the resilient backbone on which data-driven companies thrive.
Chosen by Fast-Growing Teams
Key Focus Areas
Messy datasets and gut-based decisions only take you so far. Our Data Scientists apply statistical thinking, experimental design, and machine learning to surface forward-looking insights and automate decisions. Below are the key areas where they unlock exponential value:
Experimentation
& Causal InferenceExperimentation & Causal Inference
Design A/B & multivariate tests, evaluate lift, and quantify uncertainty.Real-time
InferenceReal-time Inference
Serve low-latency predictions via micro-services or streaming frameworks, with monitoring for drift & quality.Modeling
& Algorithm DevelopmentModeling & Algorithm Development
Package, containerize, and ship models into production.Model Deployment
& ServingModeling & Algorithm Development
Package, containerize, and ship models into production.Tools & Technologies
Below you’ll see some of the most-used tools across the AI & Data lifecycle stages a Data Scientist typically works on. If your stack runs on something else, let us know, our team adapts to any platform.
Lifecycle Stages
Ingest & Understand
Explore & Understand
Model & Experiment
Design experiments and causal analyses; develop, validate, and tune models and features; add real-time inference where instant decisions matter.
Deploy & Operate
Ship models to production with CI/CD and serving, monitor performance and drift, automate retraining, and feed insights back into the next iteration.
Acquire, clean, and structure data with governed pipelines, scalable storage, and platform enablement so information is reliable, secure, and discoverable.
Turn raw tables into business context through storytelling, dashboards, KPI definitions, and analytics that surface opportunities and risks.
Design experiments and causal analyses; develop, validate, and tune models and features; add real-time inference where instant decisions matter.
Ship models to production with CI/CD and serving, monitor performance and drift, automate retraining, and feed insights back into the next iteration.
Meet Some of Our Data Scientists
7 years Mercado Libre McKinsey
Lucía
Predictive models, churn analysis, recommendation engines
Past Companies
6 years Nubank Itaú Unibanco 
Bruno
Time-series, financial forecasting, deep learning
Past Companies
9 years Rappi Zendesk
Laura
NLP, support analytics, text classification
Past Companies
Martín
Demand forecasting, retail analytics, model ops10 years
Past Companies
Walmart Chile
Falabella
5 years Globant PedidosYa
Isabella
Experiment design, growth analytics, attribution
Past Companies
8 years Interbank Deloitte
Alejandro
Fraud detection, anomaly and cluster modeling
Past Companies
6 years Microsoft Cognizant
Santiago
GenAI apps, LLM evaluation, prompt tuning
Past Companies
U.S. Hiring vs Abstra Nearshore Savings
Get an Estimated Total Cost of Ownership (TCO) for hiring in the U.S. in under 60 seconds with our cost calculator, then see how much you could save with nearshore hiring.
Why Abstra Is Your Ideal Partner
Fast and Flexible
Fast and Flexible
Our adaptability and agile processes enable us to swiftly meet your project needs, delivering tech solutions aligned with your timelines and goals.
Partnership-Oriented
Partnership-Oriented
Through open communication and mutual trust, we create collaborative relationships that drive sustained success and growth.
US-Trained Leadership
US-Trained Leadership
Our US-trained founders bring a wealth of technical knowledge and a deep understanding of the US and LATAM markets.
15 Years of Experience
15 Years of Experience
Our expertise spans a variety of industries. We tailor our solutions to meet the needs of each company, regardless of its size or sectorWhat Are the Different Ways to Hire Our Team?
Staff Augmentation
Dedicated Teams
We provide complete software teams that become integral to your organization, working collaboratively to achieve your business goals.
Software Outsourcing
Our experienced project managers and software teams handle your projects from start to finish, delivering tailored solutions that meet your requirements.
Managed IT Services
We offer comprehensive management of your IT services, ensuring smooth operations and optimal performance of your tech stack.
Ready to take the next step?
Frequently Asked Questions
Can Abstra supply a full team or just one role?
Both. We can provide a single specialist to fill a specific gap or build out an entire cross-functional team tailored to your project.