Data Scientist (Remote – LATAM)

ScaleUp; España; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A global consulting firm is seeking a Data Scientist to join their team. The role focuses on designing and deploying ML models and data pipelines while collaborating with various teams. Candidates should have over 4 years of experience, strong Python and SQL skills, and familiarity with tools like Databricks. This position is remote and offers competitive compensation along with opportunities for career growth.

Servicios

Competitive compensation

Long-term collaboration opportunities

Work remotely from anywhere

Formación

• 4+ years of experience in Data Science, Machine Learning, or Applied AI roles.
• Strong Python skills including pandas, NumPy, and scikit-learn.
• Proficiency with SQL and modern ETL frameworks.

Responsabilidades

• Design, build, and deploy robust ML models for AI applications.
• Conduct exploratory data analysis and feature engineering.
• Own the end-to-end ML lifecycle from data prep to deployment.

Conocimientos

Data Science

Machine Learning

Python

SQL

Analytical mindset

Educación

Degree in Computer Science, Data Science, Applied Math, or a related field

Herramientas

Databricks

Tableau

Power BI

Descripción del empleo

About the Role

We’re looking for a Data Scientist to join our global consulting team and help tackle real-world challenges using advanced analytics, machine learning, and generative AI. You’ll be part of a multidisciplinary, high-impact team working across consulting, health, wealth, and career businesses, collaborating with engineers, product managers, and business leaders.

If you’re passionate about building scalable ML solutions, experimenting with cutting-edge AI (LLMs, embeddings, RAG), and driving data-informed decisions for major enterprise clients, this role is for you.

What You’ll Do

• Design, build, and deploy robust ML models and intelligent data pipelines for AI-powered applications.
• Conduct exploratory data analysis (EDA) and feature engineering to uncover insights and boost performance.
• Translate complex business problems into scalable analytical use cases.
• Own the end-to-end ML lifecycle: from data prep and experimentation to deployment, monitoring, and optimization.
• Work with structured and unstructured data (including text & NLP) to develop generative AI solutions.
• Define and promote best practices in validation, reproducibility, documentation, and versioning.
• Partner with engineering to bring models into production using CI/CD pipelines and cloud-native services.
• Stay ahead of the curve with the latest in AI: RAG, LLMs, embeddings, Databricks, and more.

Minimum Requirements

• 4+ years of experience in Data Science, Machine Learning, or Applied AI roles.
• Strong Python skills (pandas, NumPy, scikit-learn).
• Proficiency in SQL and modern ETL frameworks.
• Hands-on experience with Databricks (notebooks, MLflow, Delta Lake, orchestration).
• Experience with Git workflows and Agile methodologies.
• Strong analytical mindset, problem-solving abilities, and clear communication.

Preferred Qualifications

• Experience with Generative AI, LLMs, embeddings, or prompt engineering.
• Familiarity with AWS, Azure, or GCP for scalable model deployment.
• Knowledge of ML lifecycle tools (MLflow, DVC, SageMaker, Vertex AI, DataBricks).
• Experience with BI tools (Tableau, Power BI, Qlik).
• Degree in Computer Science, Data Science, Applied Math, or a related field.

Why Join Our Talent Pool?

• Work remotely from anywhere in LATAM.
• Competitive compensation + potential for long-term collaboration.
• Be part of innovative, enterprise-level projects with important clients.
• Grow your career working at the intersection of data, AI, and business strategy.
• Independent contractor model, flexible and global.