Data Scientist (Remote – LATAM)

🌎 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.