Senior Data Scientist – Key Requirements 5–8 years of hands-on experience in data science, with a strong track record of delivering production-grade solutions in business environments. Deep expertise in traditional machine learning techniques, including time series forecasting (e.G., ARIMA, SARIMA), regression models, and other statistical methods applied to real-world datasets. Proven experience designing and implementing optimization models (e.G., linear programming, mixed-integer programming, heuristics) to solve complex business problems such as demand planning, inventory optimization, or resource allocation. Recent, demonstrable experience working on Generative AI initiatives, including LLM-based solutions and agentic workflows (e.G., autonomous agents, multi-step reasoning pipelines, tool-augmented AI systems). Hands-on experience in designing, deploying, and operationalizing agentic workflows in production environments, including orchestration, tool integration, monitoring,



and performance optimization of AI-driven agents. Strong domain knowledge in Consumer-Packaged Goods (CPG), with hands-on experience in at least one functional area: Sales (e.G., demand forecasting, pricing), Finance (e.G., revenue/margin analytics), or Supply Chain (e.G., planning, logistics, inventory). Ability to translate business problems into scalable analytical and AI-driven solutions, partnering closely with cross-functional stakeholders such as product managers, engineers, and business teams. 100% hands-on role with active involvement in data exploration, model development, evaluation, deployment, and continuous improvement. Proficiency in Python and relevant data science ecosystems (e.G., pandas, scikit-learn, statsmodels, PyTorch/TensorFlow), along with experience in cloud platforms and MLOps practices.

📌 Data Scientist (Ciudad de México)
🏢 Entellux
📍 Ciudad de México