Data Science Specialist (Data Analytics)

Job description

POSITION SUMMARY Work Model: Remote Location: São Paulo Headquarters Area / BU: Regional Purina Reporting Line: Regional TPM & Industrial Performance Manager Day-to-day responsibilities... • Individual contributor role with no direct reports, providing regional technical leadership across Purina LATAM factories. • Develop and deploy Advanced Analytics, Machine Learning, and AI solutions to support Enhanced Problem Solving and operational decision-making. • Analyze manufacturing, process, equipment, and sensor data to identify opportunities for efficiency improvement, loss reduction, quality enhancement, and process stability. • Lead Data Science projects from opportunity identification through implementation and value realization, ensuring delivery of expected business benefits. • Develop, scale, and replicate analytics solutions across Purina LATAM factories, generating operational savings and performance improvements. • Partner with Manufacturing Excellence, Operations, Engineering, Automation, IT, and Quality teams to integrate solutions into manufacturing processes and systems. • Support operational compliance, performance management, and continuous improvement through data-driven insights and digital solutions. What will contribute to your success? • Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Information Systems, or related fields. • Experience in Data Science, Advanced Analytics, Machine Learning, AI, or related analytical projects. • Experience applying analytics to solve business or operational challenges, preferably in manufacturing environments. • Experience working with cross-functional stakeholders and regional or matrix organizations. • Strong knowledge of Statistics, Machine Learning, Artificial Intelligence, Predictive Analytics, and Data Visualization. • Proficiency in Python, SQL, and data analytics tools. • Experience with databases, data integration, and industrial/manufacturing data analysis. • Knowledge of structured problem solving, continuous improvement, and project management methodologies. • Ability to communicate analytical insights effectively to technical and non-technical audiences. • Intermediate to Advanced English. • Intermediate Spanish (preferred). • Strong analytical and problem-solving skills. • Results orientation and business acumen. • Collaboration and stakeholder management. • Ability to influence without authority. • Innovation mindset, curiosity, and adaptability. • Strong communication and change management skills. • Experience with TrendMiner, Braincube, Databricks, Azure, or similar analytics platforms. • Experience in manufacturing, Industry 4.0, or digital transformation initiatives. • Knowledge of SAP, MII, DMO, automation systems, or industrial data infrastructures. • Experience with Lean Manufacturing, Continuous Improvement, and operational savings initiatives. • Experience scaling analytics and AI solutions across multiple sites or regions.