Predictive Analyst (Pulp and Paper Industry)

About the job The Sucuriú Project marks the entry of Arauco's cellulose division into Brazil. The US$4.6 billion investment includes the construction of a plant with a production capacity of 3.5 million tons of short-fiber cellulose per year. Located on an area of 3,500 hectares, 50 kilometers from the city center of Inocência (MS) and alongside the Sucuriú River. The land preparation phase began in 2024 and the expected operational entry is by the end of 2027. Throughout all phases we develop and implement predictive models to optimize production processes, ensuring the efficient use of resources and minimizing waste. We are looking for a Predictive Analyst who will be responsible for developing and implementing predictive models using statistical techniques and machine learning algorithms. The ideal candidate should have experience in data analysis, programming languages such as Python or R, and knowledge of pulp and paper industry processes. The successful candidate will work closely with the production team to identify areas for improvement and implement changes that increase efficiency and reduce costs. In addition to developing predictive models, the Predictive Analyst will also be responsible for monitoring and analyzing production data, identifying trends and patterns, and providing recommendations for process improvements. The ideal candidate should have a degree in Statistics, Mathematics or related field, and at least 2 years of experience in predictive modeling or data analysis. We offer a competitive salary, benefits package, and opportunities for professional growth and development.