28 sep
Scale Up Recruiting Partners
Barranquilla
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, versátil and global.
#J-18808-Ljbffr
📌 Data Scientist (Remote – LATAM)
🏢 Scale Up Recruiting Partners
📍 Barranquilla
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.