Data Science Specialist (Data Analytics)

Nestlé S.A.; São Paulo; Presencial; BRL 180 000 - 240 000; Tempo integral

Resumo da oferta

Nestlé S.A. in Brazil seeks a Data Science Specialist (Data Analytics) to lead analytics initiatives across Purina LATAM factories, deploying advanced analytics, ML, and AI to improve efficiency and quality.

You will analyze manufacturing data, identify opportunities, and drive data-driven decision making with cross-functional teams. The role requires strong analytics skills, experience with Python/SQL, and the ability to communicate insights to both technical and non-technical audiences.

Qualificações

• Bachelor's degree in data-related field and relevant analytics experience.
• Experience applying analytics to solve manufacturing or operational challenges.
• Ability to communicate insights to technical and non-technical audiences.

Responsabilidades

• Develop and deploy Advanced Analytics, ML, and AI solutions to support problem solving and operational decisions.
• Analyze manufacturing data to identify opportunities for efficiency, loss reduction, quality, and stability.
• Lead DS projects from opportunity to value realization with measurable business benefits.
• Scale analytics solutions across LATAM factories and partner with cross-functional teams to integrate into processes.

Conhecimentos

Data Science

Advanced Analytics

Machine Learning

AI

Python

SQL

Data Visualization

Cross-functional

Problem Solving

Communication

English

Spanish

Industry 4.0

Formação académica

Bachelor's degree

Ferramentas

TrendMiner

Braincube

Databricks

Azure

SAP

MII

Descrição da oferta de emprego

Data Science Specialist (Data Analytics)

Data Science Specialist (Data Analytics)

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.

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.