Data Science Specialist, Data Analytics

Job not on LinkedIn

🕒 September 8

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 38%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nestle

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🍽️ Food & Beverage

🏭 Manufacturing

📦 Logistics

Food & Beverage • Manufacturing • Logistics

Nestle is a Swiss multinational food and beverage company that produces and markets a wide range of packaged foods and beverages, including coffee, bottled water, dairy products, infant nutrition, confectionery, frozen foods, and pet care brands. The company sells its products globally through retail and foodservice channels, operates extensive manufacturing and supply-chain operations, and focuses on nutrition, health, and wellness initiatives.

📋 Description

• Provide regional technical leadership across Purina LATAM factories as an individual contributor • Develop and deploy Advanced Analytics, Machine Learning, and AI solutions to enhance 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 • Develop, scale, and replicate analytics solutions across Purina LATAM factories to generate 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

🎯 Requirements

• Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Information Systems, or a related field • 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 proficiency • 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