
5001 - 10000 employees
👥 B2C
🛒 Retail
B2C • Retail
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.
🕒 February 24
🗣️🇧🇷🇵🇹 Portuguese Required
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5001 - 10000 employees
👥 B2C
🛒 Retail
B2C • Retail
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.
• Provide support to the demand planning team by producing forecasts and conducting statistical analyses. • Build models that will guide the sales plan, based on a clear, data-driven rationale. • Develop demand forecasts and statistical/econometric studies using statistical modeling tools in R and Python. • Identify and ensure optimization of existing processes. • Manage the quality of solutions proposed by the team. • Identify and analyze events (marketing campaigns, dates, special events, etc.) and market, competitor, and customer information that may impact demand for Nestlé products. • Monitor the accuracy and performance of the models developed. • Support demand planners in the use and application of predictive models.
• Strong analytical and organizational skills • Data-driven mindset • Storytelling and data presentation skills • Results-oriented • Good interpersonal skills • Flexibility • Experience with time series models • Data manipulation (SQL, Spark) • R and/or Python (modeling packages/libraries) • Exploratory data analysis • Good version control practices (Git) • Lifelong learning mindset applied to Data Science
• Remote work
Apply Now🕒 January 15
Data Scientist role focusing on building predictive models and creating client-centric solutions. Datarisk leverages AI for decision-making across diverse industries.
🗣️🇧🇷🇵🇹 Portuguese Required