The IDS team is looking for a manager to lead, design, and implement high‑impact analytics, machine learning, and Generative AI solutions. This role combines technical leadership, hands-on data engineering, traditional statistical modeling, and cutting-edge AI development, including LLMs and agentic workflows.
The ideal candidate is a versatile data scientist and engineer who can work from raw data all the way to production-grade solutions, building models, developing automation pipelines, and leveraging Generative AI to transform how VCA delivers insights to clients in Latin America.
Responsibilities:
- Drive (hands-on) the end‑to‑end lifecycle of analytical, machine learning, and Generative AI projects—from business problem definition to model development, validation, deployment, and monitoring.
- Perform (hands-on) advanced data wrangling, feature engineering, and dataset creation using complex, large‑scale, and unstructured data sources (Hadoop, PySpark, Presto, SQL, Hive).
- Build and deploy traditional ML and statistical models (Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, K-Means Clustering, LLM, XGBoost, Neural Networks, …).
- Develop and implement Generative AI solutions, including LLM‑based pipelines, retrieval‑augmented generation (RAG), prompt engineering, and AI agents for automation and decision support.
- Collaborate with engineering teams to design scalable solutions that integrate both ML and GenAI components into production environments.
- Create frameworks and reusable components to accelerate internal model development and improve team efficiency.
- Translate complex analytical concepts into actionable recommendations for technical and non‑technical stakeholders.
- Mentor junior data scientists, fostering excellence in analytical methods, coding best practices, and emerging AI techniques.
- Promote the adoption of Generative AI across the organization, identifying opportunities for automation, knowledge enhancement, and operational efficiency.
- Build strong client relationships, supporting scoping discussions, requirement gathering, roadmap development, and solution delivery.
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.