Job Summary: We are seeking a Data Scientist with experience in Python, PySpark, and Machine Learning to develop and enhance prediction models and recommendation strategies for Zé Delivery. Key Highlights: 1. Cultural transformation and evolution with a focus on inclusion and diversity. 2. Development of predictive models and recommendation strategies. 3. A meritocratic and collaborative environment focused on innovation. Currently, our culture is undergoing a process of transformation and evolution. Our history and identity are defined by **big dreams**, which brought us here and fill us with pride! However, we believe that the time to evolve is always now—and doing so alongside our people makes our journey even more extraordinary. Our culture honors the past and is now also guided by **3 core values**, which steer us toward becoming a company that is increasingly inclusive, diverse, collaborative, technology-driven, and connected to the future of the world and our business platform. These values are: **Active Listening, Collaboration, and Long-Term Vision**, each encompassing additional competencies that define who we are. We take pride in our ability to deliver results and the passion that brought us this far. To continue evolving together, we invite you to join us on this journey. Nice to meet you—**we are Ambev**, and we’d love to have you on board. Shall we go together?! **Responsibilities and Assignments** **Technical Expertise (Hard Skills):** * Strong experience with Python and PySpark, including distributed processing and manipulation of large-scale datasets in cloud environments (AWS or Azure). * Experience developing machine learning models for recommendation, prediction, and classification. * Knowledge of recommendation techniques such as matrix factorization (e.g., ALS), neighborhood-based models, and embeddings. * Experience with market basket analysis and association rules (e.g., Apriori, FP\-Growth). * Experience with clustering and consumer segmentation based on behavior and lifecycle. * Knowledge of causal inference, A/B testing, and incremental impact measurement. * Experience with offline and online evaluation of recommendation models (e.g., NDCG, MAP, uplift, business metrics). * Solid foundations in statistics, machine learning, and model validation. * Ability to translate analytical models into business decisions and impact key metrics\-. **Role Responsibilities:** * Develop and enhance prediction models for Zé Delivery. * Build and maintain PySpark data pipelines and feature engineering workflows to support scalable models. * Design and implement product and offer recommendation strategies across the consumer journey. * Define, execute, and analyze A/B tests to evaluate the impact of models and campaigns. **Nice-to-Have Qualifications:** * Experience with modern recommendation architectures (e.g., two\-tower models, retrieval \+ ranking). * Experience with user and item embeddings (e.g., Word2Vec, item2vec, deep learning applied to recommender systems). * Hands-on experience with real-time, low-latency recommendation systems. * Experience with feature stores and online/offline feature serving. * Knowledge of exploration vs. exploitation techniques (e.g., multi\-armed bandits, reinforcement learning applied to recommendation). * Postgraduate degree in Data Science or related fields (including Master’s or PhD). * Strong communication skills and ability to generate actionable business insights. **Requirements and Qualifications** * Completed undergraduate degree. * Experience with consumer data applied to recommendation and personalization problems. * Minimum 3 years of experience as a Data Scientist. **Additional Information** At AMBEV today, we offer the best benefits for you and your legal dependents! Within the company, we provide: * **Enhanced health care** through Medical and Dental Plans, Telemedicine, Life Insurance, and Gympass. * **Mental health support** via Dasa Telemedicine. * The opportunity to consume our products at a super discount (yes, we offer **employee product sales at special prices!**). * More enjoyable year-end family gatherings, thanks to our **Christmas Basket** and toys for employees with children. * Financial protection through our **private pension plan**. * The option to do your grocery shopping or eat at your favorite restaurant using **Meal or Food Allowance**, allowing you to choose between these two benefits. * **Transportation Allowance**, optional and dependent on the position’s terms. * The chance to receive an attendance bonus—essentially our **14th salary**, an extra annual payment for our employees! * **Childcare Allowance** or **Babysitter Allowance**. * **Profit Sharing** program. Plus, dream, grow, build, and thrive within a meritocratic and inclusive environment—and make a difference by uniting people toward a better world! JOIN A TEAM THAT DREAMS AS BIG AS YOU DO! We are thousands of passionate individuals dedicated to what we do. We take immense pride in our ability to generate positive impact—and recognize that, acting as owners, each of us plays a vital role in the success of our ecosystem. Moreover, all our major achievements carry the flavor of collaboration! Our success is shared, and we believe that through collaboration, we can delight our customers even more with the brands they love today—and simultaneously cater to tomorrow’s tastes. Our culture focuses on building an inclusive and collaborative environment where people can be their best selves—and help us become our best version! We seek people with passion, curiosity, and courage to make a difference here. We welcome diverse talents because we believe great ideas come from people with different backgrounds. We offer opportunities for talents entering the job market and are passionate about empowering our people. **It is by working and growing together that we fulfill our purpose: We Dream Big for a Future with More Reasons to Celebrate!**
João Silva
Indeed · HR
João Silva
Indeed · HR
