Data Scientist / AI Change Agent
The adecuado candidate's favorite words are AI, learning, data, scale, and agility. The candidate realizes the potential of Artificial Intelligence and acts as a change agent for the entire company to make sure we stay on top what continues to become possible. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
- Identify opportunities for Artificial Intelligence, Large Language Models and Machine learning in the organization and become an agent to best practices and roll out.
- Forecast production volumesusing seasonal trend decomposition, time-series modeling, and machine learning.
- Developpredictive modelsto support demand planning, capacity analysis, and operational efficiency.
- Conductproduction capacity analysisacross different facilities and modalities.
- ImplementStatistical Process Control (SPC)systems to monitor production stability and detect early signs of deviation.




- Analyze real-time sensor data usingsignal processing and pattern recognitiontechniques for troubleshooting and anomaly detection.
- Build and maintainradioisotope demand forecastingmodels to support regulatory planning and procurement.
- Support thestart-up analyticsfor the Rhodotron X-Ray facility and its integration into corporate dashboards and KPIs.
- Participate ininternal compliance audits, providing analytical support and documentation as needed.
- Collaborate closely with operations, engineering, and IT to ensure data integrity, model adoption, and actionable insight generation.

Qualifications
- Degree in Data Science, Applied Mathematics, Statistics, Industrial Engineering, or a related field. Master's degree preferred.
- 3+ years of experience in a data science role, ideally within a manufacturing or industrial context.
- Proficiency inPython, R, or similar tools for modeling and analysis; solid experience w

📌 Data Scientist (Guadalajara)
🏢 Benebion
📍 Guadalajara