18 publicaciones de empleo destacadas de data scientist en parque avellaneda buenos aires (¡Están contratando!)

Data Scientist
Latino Legends —Buenos Aires, Buenos Aires
Postulación rápida
6h
Python Developer (Oil & Gas Industry)
Capgemini Sogeti —Buenos Aires, Buenos Aires
Científico de Datos - Especialista en Machine Learning y Cloud MLOps
MaxIT Consulting - Max Corporate Group —Capital Federal, Buenos Aires
- Tiempo completo
Postulación rápida
Sr Revenue Management Analyst B2C
Despegar —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Mainframe DevOps Migration Consultant
Capgemini —Buenos Aires, Buenos Aires
AI Software Engineer - Remote
Azumo —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Analyst - McKinsey Digital
McKinsey & Company —Buenos Aires, Buenos Aires
Senior Machine Learning Engineer
GoFundMe —Capital Federal, Buenos Aires
Postulación rápida
Azure Databricks Engineer
Capgemini —Buenos Aires, Buenos Aires
Azure Databricks Engineer
Capgemini Sogeti —Buenos Aires, Buenos Aires
Salesforce Developer
Capgemini —Buenos Aires, Buenos Aires
3d
Senior, Java Software Engineer
Disney Entertainment and ESPN Product & Technology —Buenos Aires, Buenos Aires
Software Engineer, Data Infrastructure & Acquisition - Buenos Aires, Argentina
Speechify —Capital Federal, Buenos Aires
Sr Mainframe Automation Engineer
Capgemini —Buenos Aires, Buenos Aires
Senior Software Engineer, Windows/Desktop Applications - Buenos Aires, Argentina
Speechify —Capital Federal, Buenos Aires
Salesforce Developer
Capgemini Sogeti —Buenos Aires, Buenos Aires
3d
Sr Mainframe Automation Engineer
Capgemini Sogeti —Buenos Aires, Buenos Aires
Pasante Gestor Express - Sucursales San Juan
BBVA —Retiro, Buenos Aires
2h

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Data Scientist

Latino Legends
Buenos Aires, Buenos Aires

Postulación rápida

Detalles del empleo

Hace 6 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

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data scientist empleos en parque avellaneda buenos aires

Data Scientist

Python Developer (Oil & Gas Industry)

Científico de Datos - Especialista en Machine Learning y Cloud MLOps

Sr Revenue Management Analyst B2C

Mainframe DevOps Migration Consultant

AI Software Engineer - Remote

Analyst - McKinsey Digital

Senior Machine Learning Engineer

Azure Databricks Engineer

Azure Databricks Engineer

Salesforce Developer

Senior, Java Software Engineer

Software Engineer, Data Infrastructure & Acquisition - Buenos Aires, Argentina

Sr Mainframe Automation Engineer

Senior Software Engineer, Windows/Desktop Applications - Buenos Aires, Argentina

Salesforce Developer

Sr Mainframe Automation Engineer

Pasante Gestor Express - Sucursales San Juan

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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)