15 publicaciones de empleo destacadas de stack engineer en b (¡Están contratando!)

Data Scientist
Latino Legends —Buenos Aires, Buenos Aires
Postulación rápida
3h
Accounts Payable Specialist
AST SpaceMobile —Capital Federal, Buenos Aires
Postulación rápida
6d
Senior Software Engineer, Core Experiences - Buenos Aires, Argentina
Speechify —Capital Federal, Buenos Aires
Tech Lead
FeverUp —Buenos Aires, Buenos Aires
Postulación rápida
NextGen AI Technical Manager -Growth&Innovation - Assistant Director - Argentina - EY GDS
EY —Capital Federal, Buenos Aires
Senior Backend Engineer (Backend Platform)
FeverUp —Buenos Aires, Buenos Aires
Postulación rápida
Software Engineer II with Accounting Experience (Argentina)
Sezzle —Buenos Aires, Buenos Aires
Senior Software Engineer with Accounting Experience (Argentina)
Sezzle —Buenos Aires, Buenos Aires
Senior Payments Engineer — Acquiring & Payment Processing
Sezzle —Capital Federal, Buenos Aires
Senior Technical Product Manager, Banking Platform
Sezzle —Capital Federal, Buenos Aires
AI Engineer
Modus Digital —Capital Federal, Buenos Aires
- Tiempo completo
Postulación rápida
Engineering Technical Lead
Modus Digital —Capital Federal, Buenos Aires
- Tiempo completo
Postulación rápida
Software Engineer, Robotics
Scale AI —Buenos Aires, Buenos Aires
Software Engineer II - Python
JPMorganChase —Buenos Aires, Buenos Aires
- Tiempo completo
6h
Lead Software Engineer - Buenos Aires, Argentina (Hybrid)
Nubank —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
2h

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Data Scientist

Latino Legends
Buenos Aires, Buenos Aires

Postulación rápida

Detalles del empleo

Hace 3 horas

Descripción completa del empleo

Data Scientist
(Machine Learning & Databricks)

Salary | $2,000 USD/month (Bi-weekly payments)

Location | Remote from Latin America

Schedule | Full-time

Employment Type | Contractor

Perks & Time Off | U.S. holidays off, generous PTO, internal training, and mentorship

About the Client

Latino Legends is partnering with a high-growth U.S. marketing intelligence company to find top-tier nearshore talent. Our client does not just report on data—they build with it, driving marketing decisions for over 1,000 dealer clients across digital and direct channels. They operate on a cloud-native Databricks Lakehouse platform and foster an AI-forward culture where modern tooling accelerates analysis and deployment.

The Role

As a Data Scientist, you will work primarily inside Databricks building datasets, features, and machine learning models that power marketing intelligence. You will spend your time on data preparation, exploratory analysis, feature engineering, and model training/evaluation, supported by senior engineers and architects on the production side.

Key Responsibilities

Data & Modeling (80%)

Build and maintain data pipelines and transformations in Databricks using Python, PySpark, and SQL.
Perform exploratory data analysis to understand marketing, campaign, and customer datasets.
Engineer features, prepare training datasets, and train, evaluate, and tune machine learning models.
Support model deployment and monitoring in production alongside senior engineers.
Investigate and resolve data quality issues in source feeds and pipelines.
Leverage AI coding tools efficiently while maintaining code quality and deep understanding.

Collaboration & Quality (20%)

Participate in sprint planning, standups, and retrospectives within an Agile/SCRUM framework.
Write tests, data validation checks, and participate in code reviews.
Document datasets, features, model assumptions, and results.
Present findings and recommendations to both technical and business stakeholders.

Core Qualifications

Required:

Experience: 1-3 years of hands-on experience in data science, machine learning, or analytics engineering (including internships, co-ops, research, or complex projects).
Education: Degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or comparable practical experience.
Languages & Core Tooling: Solid proficiency with Python (pandas, NumPy, scikit-learn) and SQL (joins, aggregations, window functions).
Data Science Fundamentals: Solid understanding of supervised learning, train/test splits, feature engineering, cross-validation, and evaluation metrics (ROC AUC, RMSE, precision, recall).
Statistics & Data Handling: Working knowledge of descriptive statistics, hypothesis testing, data profiling, and data cleaning.
Modern Workflow: Proficiency with Git, collaborative development, and AI-assisted development tools (Cursor, GitHub Copilot, Claude, etc.).
Communication: Strong written and spoken English skills to effectively explain complex findings to non-technical audiences.

Nice to Have:

Hands-on experience with Databricks (Unity Catalog, clusters, jobs, notebooks) or PySpark.
Exposure to MLflow, Delta Lake (medallion architecture), or Azure cloud services.
Experience with time-series forecasting, uplift modeling, or audience segmentation.
Familiarity with visualization tools (Power BI, Tableau, Plotly) or CI/CD pipelines (GitHub Actions, Azure DevOps).
Interest in Large Language Models (LLMs) and generative AI applications.

Why Apply Through Latino Legends?

Modern Stack: Hands-on experience in Databricks on a modern lakehouse platform with zero legacy code clutter.
Mentorship & Career Growth: Work side-by-side with senior architects who review your code and help you transition from notebook experiments to production-level machine learning.
High Impact: Your models directly inform millions of dollars in active marketing spend.
Distributed Culture: Enjoy a collaborative, cross-border culture across the U.S. and Latin America.

Postulación rápida

Refiná tu búsqueda

stack engineer empleos en b

Data Scientist

Accounts Payable Specialist

Senior Software Engineer, Core Experiences - Buenos Aires, Argentina

Tech Lead

NextGen AI Technical Manager -Growth&Innovation - Assistant Director - Argentina - EY GDS

Senior Backend Engineer (Backend Platform)

Software Engineer II with Accounting Experience (Argentina)

Senior Software Engineer with Accounting Experience (Argentina)

Senior Payments Engineer — Acquiring & Payment Processing

Senior Technical Product Manager, Banking Platform

AI Engineer

Engineering Technical Lead

Software Engineer, Robotics

Software Engineer II - Python

Lead Software Engineer - Buenos Aires, Argentina (Hybrid)

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Quiero recibir la alerta de empleo más reciente para stack engineer en b

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Data Scientist
(Machine Learning & Databricks)

About the Client

The Role

Key Responsibilities

Data & Modeling (80%)

Collaboration & Quality (20%)

Core Qualifications

Required:

Nice to Have:

Why Apply Through Latino Legends?

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Data Scientist (Machine Learning & Databricks)

About the Client

The Role

Key Responsibilities

Data & Modeling (80%)

Collaboration & Quality (20%)

Core Qualifications

Required:

Nice to Have:

Why Apply Through Latino Legends?

Data Scientist
(Machine Learning & Databricks)