13 publicaciones de empleo destacadas de data scientist en b (¡Están contratando!)

Data Scientist
Latino Legends —Buenos Aires, Buenos Aires
Postulación rápida
18h
Data Intelligence Platform Engineer
Philip Morris International —Buenos Aires, Buenos Aires
- Tiempo completo
Desarrollador .Net
Capgemini —Buenos Aires, Buenos Aires
19h
Desarrollador .Net
Capgemini Sogeti —Buenos Aires, Buenos Aires
1d
Lead Conceptual Designer - Product / UI
Beyond —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Senior Machine Learning Engineer
GoFundMe —Capital Federal, Buenos Aires
Postulación rápida
Sr Mainframe Automation Engineer
Capgemini —Buenos Aires, Buenos Aires
Software Engineer, Data Infrastructure & Acquisition - Buenos Aires, Argentina
Speechify —Capital Federal, Buenos Aires
Senior, Java Software Engineer
Disney Entertainment and ESPN Product & Technology —Buenos Aires, Buenos Aires
Sr Mainframe Automation Engineer
Capgemini Sogeti —Buenos Aires, Buenos Aires
Senior Software Engineer, Windows/Desktop Applications - Buenos Aires, Argentina
Speechify —Capital Federal, 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
Pasante Gestor Express - Sucursales San Juan
BBVA —Retiro, Buenos Aires
13h

More jobs to discover

Find similar jobs that you might be interested in.

Data Intelligence Platform Engineer
Philip Morris International —Buenos Aires, Buenos Aires
Partner closely with data scientists and ML engineers to enable production model deployments. Maintain and improve the AWS SageMaker ML platform.
Data Engineer
Emi Labs —Buenos Aires, Buenos Aires
Strong technical skills in data engineering, data architecture, and analytics. Data Governance: Establish and maintain robust data governance practices to…
Postulación rápida

Quiero recibir la alerta de empleo más reciente para data scientist 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

data scientist jobs near b

Empleos de Platform Engineer en Kraków, Małopolskie

Empleos de Data Scientist en Capital Federal, Buenos Aires

Empleos de Software Engineer en Belgrano C, Buenos Aires

Empleos de Software Developer, Junior en Córdoba, Córdoba

Empleos de Desarrollador Full Stack en Palermo, Buenos Aires

Empleos de Desarrollador Junior en Buenos Aires, Buenos Aires

Empleos de Senior Network Security Engineer en Buenos Aires, Buenos Aires

Empleos de Fullstack Developer en Remote

Empleos de Trainee, Developer en Canning, Buenos Aires

Empleos de Team Lead en Provincia De San Juan

Empleos de Motion Designer en Buenos Aires, Buenos Aires

Empleos de Platform Engineer en Warszawa, Mazowieckie

Empleos de Plc Engineer en Oława, Dolnośląskie

Empleos de R&d Engineer en Katowice, Śląskie

Empleos de Junior Software Engineer en Anywhere

Empleos de Senior Software Engineer en Buenos Aires, Buenos Aires

Empleos de Junior Data Analyst en Remote

Empleos de Data Scientist en Córdoba, Córdoba

Empleos de Data Scientist en Ciudad General Belgrano, Buenos Aires

Empleos de Data Entry en Argentina, Remoto

Data Scientist

Latino Legends
Buenos Aires, Buenos Aires

Postulación rápida

Detalles del empleo

Hace 18 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

data scientist empleos en b

Data Scientist

Data Intelligence Platform Engineer

Desarrollador .Net

Desarrollador .Net

Lead Conceptual Designer - Product / UI

Senior Machine Learning Engineer

Sr Mainframe Automation Engineer

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

Senior, Java Software Engineer

Sr Mainframe Automation Engineer

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

Científico de Datos - Especialista en Machine Learning y Cloud MLOps

Pasante Gestor Express - Sucursales San Juan

More jobs to discover

Quiero recibir la alerta de empleo más reciente para data scientist 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

data scientist empleos en b

More jobs to discover

Quiero recibir la alerta de empleo más reciente para data scientist 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)