Lead Data Scientist – Sustainability Focus

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🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 25%

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 technical leadership for the support, evolution, and reliability of Nestlé Brazil’s Data Science, Machine Learning, and Artificial Intelligence products. • Ensure the availability, performance, scalability, security, and operational continuity of models, Machine Learning pipelines, and analytical applications in production. • Take ownership of the operation and support of the analytical and AI model portfolio, ensuring SLAs, incident resolution, and continuous improvement. • Provide technical leadership to teams responsible for supporting and evolving data and AI products, defining priorities, technical direction, and quality standards. • Serve as a technical reference for Data Science, Machine Learning Engineering, and MLOps teams. • Establish and enhance monitoring and observability for data, models, pipelines, and inference services. • Ensure model quality, relevance, and performance through monitoring, validation, retraining, and lifecycle governance. • Lead demand prioritization and negotiation, aligning expectations, risks, timelines, and solution value. • Connect business areas, suppliers, and technical teams, promoting alignment and data-driven decision-making. • Contribute to technological advancement, optimization, operational efficiency, scalability, and cost rationalization across AI environments. • Promote technical development, collaboration, knowledge sharing, and operational excellence among internal teams and partners.

🎯 Requirements

• Bachelor’s degree in Technology, Engineering, Mathematics, Statistics, or a related field. • Experience providing technical leadership or managing teams in Data Science, Machine Learning Engineering, Artificial Intelligence, or related areas, ensuring technical quality, SLA compliance, and results delivery. • Experience supporting, operating, and evolving Machine Learning models, AI products, and analytical applications in corporate environments. • Experience in Machine Learning Engineering, MLOps, and production model lifecycle governance, including version control, CI/CD, model monitoring, and retraining. • Experience with monitoring, observability, operational reliability, and incident management for AI and Machine Learning solutions. • Experience with Python, SQL, and modern Data Science and Machine Learning ecosystems. • Experience with Analytics and AI platforms such as Databricks, Snowflake, or equivalent technologies. • Ability to translate business needs into technical direction and lead discussions with stakeholders at different levels. • Strong communication, influencing, and negotiation skills with technical audiences, business areas, external partners, and executives. • Experience managing competing priorities and coordinating initiatives across multiple teams and suppliers. • Experience collaborating with Data Engineering, Architecture, Governance, Security, and Data Product teams. • Advanced or fluent English.