Data Scientist Proficient (Enterprise AI & GenAI)

Data Scientist Proficient (Enterprise AI & GenAI) Role Description: Proficient Data Scientist focused on Enterprise AI and Generative AI initiatives, responsible for designing, validating, and delivering data science and GenAI solutions that translate complex business problems into measurable analytical outcomes. The role operates in client‑facing and consulting‑style environments, collaborating closely with stakeholders and ML Engineering teams. Requirements: Must Have 4+ years of applied Data Science experience in enterprise environments. Strong statistical background and modeling expertise. Proficiency in Python and common ML libraries. Hands‑on experience applying LLMs, embeddings, and prompt engineering techniques. Ability to translate business needs into analytical and AI-driven solutions. Experience working in consulting or client‑facing contexts. Strong analytical reasoning and structured problem‑solving skills. Solid statistical foundation and experimentation capability. Practical experience applying LLMs beyond theoretical exploration. Ability to connect analytical results with measurable business impact. Analytical rigor and structured problem‑solving. Strong business acumen. Ability to operate in ambiguous and multi‑industry environments. Clear communication and effective stakeholder management. Responsibilities: Lead exploratory data analysis and hypothesis‑driven modeling initiatives. Design evaluation frameworks and define performance metrics. Prototype and validate GenAI use cases using LLMs and embeddings. Apply statistical rigor to experimentation and performance assessment. Communicate insights and recommendations to technical and business stakeholders. Collaborate with ML Engineers to productionize validated data science and GenAI solutions. Required Languages English – Fluent / Advanced (96–100%) Location Mexico / Colombia – Remote Bogotá and surrounding areas – Hybrid