12 publicaciones de empleo destacadas de engineer core en b (¡Están contratando!)

Data Scientist
Latino Legends —Buenos Aires, Buenos Aires
Postulación rápida
1d
Senior Backend Engineer (Backend Platform)
FeverUp —Buenos Aires, Buenos Aires
Postulación rápida
Senior Payments Engineer — Acquiring & Payment Processing
Sezzle —Capital Federal, Buenos Aires
Senior Technical Product Manager, Banking Platform
Sezzle —Capital Federal, Buenos Aires
Mobile Engineer (Remote)
Fireblocks —Buenos Aires, Buenos Aires
Postulación rápida
Senior Product Manager - Core Experience
n8n —Buenos Aires, Buenos Aires
- Tiempo completo
13h
Desarrollador .Net
Capgemini —Buenos Aires, Buenos Aires
1d
Services Tender Engineer
Schneider Electric —Buenos Aires, Buenos Aires
4h
Desarrollador .Net
Capgemini Sogeti —Buenos Aires, Buenos Aires
1d
CT Engineering - Forward-Deployed Engineer (FDE) - EY GDS
EY —Capital Federal, Buenos Aires
1d
Lead Software Engineer - Buenos Aires, Argentina (Hybrid)
Nubank —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
1d
Software Defined Networking : Software Engineer III
JPMorganChase —Buenos Aires, Buenos Aires
- Tiempo completo
7h

Other jobs to consider

Find your next job by exploring related positions.

DevSecOps Engineer
Cashea —Buenos Aires, Buenos Aires
El DevSecOps Engineer (Application Security) es responsable de integrar la seguridad en todo el ciclo de vida de desarrollo de software (SDLC), promoviendo una…
Project Manager
Capgemini —Buenos Aires, Buenos Aires
We are seeking an experienced Project Manager to lead software migration projects for clients on the IBM Z platform.

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

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Explorar empleos en más ubicaciones

engineer core jobs near b

Empleos de Qa Automation Engineer A en Capital Federal, Buenos Aires

Empleos de Junior Data Engineer en Buenos Aires, Buenos Aires

Empleos de Abogados Senior en Buenos Aires, Buenos Aires

Empleos de Analista Contable Senior en San Isidro, Buenos Aires

Empleos de Data Engineer en Remedios De Escalada, Buenos Aires

Empleos de Software Engineer en Castelar, Buenos Aires

Empleos de Software Engineer en Montserrat, Buenos Aires

Empleos de Data Engineer Jr en Villa Del Parque, Buenos Aires

Empleos de Prompt Engineer en Capital Federal, Buenos Aires

Empleos de Desarrollador Full Stack en Palermo, Buenos Aires

Empleos de Desarrollador Junior en Buenos Aires, Buenos Aires

Empleos de Manager Mining en Buenos Aires, Buenos Aires

Empleos de Influencer Marketing Manager en Buenos Aires, Buenos Aires

Empleos de Project Manager en Buenos Aires, Buenos Aires

Empleos de Junior Data Analyst en Remote

Empleos de Data Scientist en Capital Federal, Buenos Aires

Empleos de Data Scientist en Córdoba, Córdoba

Empleos de Data Scientist en Ciudad General Belgrano, Buenos Aires

Empleos de Data Entry en Argentina, Remoto

Empleos de Design Engineer en Buenos Aires, Buenos Aires

Data Scientist

Latino Legends
Buenos Aires, Buenos Aires

Postulación rápida

Detalles del empleo

Hace 1 día

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

engineer core empleos en b

Data Scientist

Senior Backend Engineer (Backend Platform)

Senior Payments Engineer — Acquiring & Payment Processing

Senior Technical Product Manager, Banking Platform

Mobile Engineer (Remote)

Senior Product Manager - Core Experience

Desarrollador .Net

Services Tender Engineer

Desarrollador .Net

CT Engineering - Forward-Deployed Engineer (FDE) - EY GDS

Lead Software Engineer - Buenos Aires, Argentina (Hybrid)

Software Defined Networking : Software Engineer III

Other jobs to consider

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

Related Searches

Explorar empleos en más ubicaciones

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?

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado

Refiná tu búsqueda

engineer core empleos en b

Other jobs to consider

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

Related Searches

Explorar empleos en más ubicaciones

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)