Data Scientist

Description

Job Summary: As a Data Scientist in Unilever Food Solutions’ LATAM Hub, you will connect global and local teams, leading the rollout and adaptation of analytical solutions across Latin America. Key Highlights: 1. Strategic connection between global and local Data Science teams. 2. Lead the rollout and adaptation of analytical solutions for LATAM markets. 3. Develop analytical products and advanced models to drive business impact. **PURPOSE OF THE ROLE** ===================== At Unilever, you can put your purpose into practice through your work — building a better business and a better world. As a **Data Scientist** in the **Unilever Food Solutions LATAM Hub**, you will play a strategic role in **bridging the global Data Science team and local teams across Latin America**. You will be responsible for **absorbing global analytical solutions, models, and best practices** — with a strong foundation in Brazil — and **leading their rollout, adaptation, and scalability** across LATAM markets. Additionally, you will serve as the **technical communication focal point**, ensuring smooth collaboration across teams, methodological consistency, and real business impact. **KEY RESPONSIBILITIES** ================================ * Serve as the primary point of contact between the global Data Science team and local LATAM teams, ensuring technical alignment and prioritization. * Translate global solutions and models into **practical, scalable, and market-adapted implementations for each Latin American country**. * Develop **analytical products** and transform data into actionable insights focused on business impact. * Build and implement **statistical models, Machine Learning models, and LLM-based solutions** for forecasting, classification, segmentation, and behavioral analysis. * Design and conduct **analytical experiments** (hypothesis definition, data exploration, statistical testing, result evaluation). * Create and maintain **Power BI dashboards and visual narratives** to support strategic decision-making. * Engage with regional and local stakeholders, understand business problems, and recommend data-driven solutions. * Lead meetings, presentations, and technical discussions, communicating results clearly and impact-oriented. * Contribute to the **standardization of metrics, models, and best practices** across LATAM countries. **BEHAVIORAL COMPETENCIES** ================================ * Strong collaboration in multicultural, matrixed, and geographically distributed environments. * Excellent verbal and written communication for both technical and non-technical audiences. * Analytical and creative thinking to solve real business problems. * Curiosity and ability to understand metrics, KPIs, and commercial challenges. * Mindset of **continuous learning**, openness to both teaching and learning. **REQUIRED QUALIFICATIONS** ============================= * Bachelor’s degree in Statistics, Mathematics, Computer Science/Engineering, Engineering, or related fields. * **Experience** in Data Science. * Proficiency in **Python and/or R** (statistical modeling and Machine Learning). * Solid knowledge of **SQL**. * Experience with **Databricks** and large-scale data manipulation. * Experience with **Power BI** (dashboards and visual analytics). * Knowledge of regression, classification, clustering, time series, A/B testing, and **LLMs**. * **Advanced English** for interaction with global teams. * **Conversational Spanish**. **PREFERRED QUALIFICATIONS** ================ * Advanced Power BI proficiency (data modeling and DAX). Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their ‘Whole Self’ to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.