Senior Data Science Analyst

Job not on LinkedIn

🔥 8 minutes ago

🇧🇷 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

• Understand business problems and effectively translate them into data science solutions • Develop, implement, and optimize Machine Learning models • Identify opportunities for analysis and new applications of statistical models • Identify process improvement opportunities, prioritizing business needs • Develop data products using Statistics, Data Science, and Machine Learning techniques • Work on multidisciplinary projects and maintain direct contact with senior leaders in the field • Report to the Data Scientist Lead

🎯 Requirements

• Bachelor’s degree in Statistics, Computer Science, Engineering, or a related field — required • Experience with Data Analysis, Statistical Modeling, and Machine Learning • Ability to formulate data-driven solutions aligned with business opportunities • Strong verbal communication skills and the ability to work effectively and collaboratively across different teams • Knowledge of Azure, Databricks, Python, and SQL — preferred • Good command of English (reading, writing, and speaking)

🏖️ Benefits

• Diverse and inclusive environment • Opportunities for mutual growth • Ownership mindset and commitment to excellence • Remote work