Data Scientist (AI/ML)

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    "jobDescription": "<p><b>Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?</b></p><p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><p><span>Campinas - SP</span></p><p><span>Job type: Full-time employee</span></p><p><span>Work model: Onsite</span><br /><br />Estamos em busca de um Data Scientist apaixonado por AI/ML e GenAI para integrar nosso time de AI &amp; Analytics. Se você gosta de transformar dados em inteligência, construir modelos que resolvem problemas reais e trabalhar lado a lado com engenheiros de machine learning para levar soluções do experimento à produção — essa vaga é para você!</p><p><br />Sobre o Papel Você será responsável por desenvolver modelos de Machine Learning, análises estatísticas e aplicações que utilizam técnicas de ponta em AI e GenAI. O foco será criar soluções inteligentes para desafios de negócios em varejo e bens de consumo (FMCG), atuando de forma prática, colaborativa e orientada a impacto.</p><p><br />É uma posição hands-on, ideal para profissionais que gostam de explorar dados, testar hipóteses, construir modelos robustos e entregar valor de ponta a ponta.<br /> </p><div><h1><b>O que você vai fazer</b></h1><ul><li>Explorar, preparar e analisar grandes volumes de dados reais de negócio.</li><li>Construir modelos de Machine Learning e técnicas estatísticas para resolver problemas complexos.</li><li>Utilizar modelos Transformer e recursos de <b>GenAI/LLMs</b> para criar soluções inovadoras.</li><li>Trabalhar com APIs de OpenAI, Anthropic, Gemini ou modelos open-source.</li><li>Colaborar com ML Engineers e Product Managers na jornada completa de implementação:<br /><b>experimento → protótipo → produção</b>.</li><li>Escrever código limpo, eficiente e sustentável para uso em pipelines e sistemas de AI.</li><li>Traduzir necessidades do negócio em soluções de dados e IA claras e práticas.<br /> </li></ul><h1><b>Tech Stack Principal</b><br /> </h1><h3><b>Linguagens e Ferramentas</b></h3><ul><li>Python (avançado)</li><li>Pandas, NumPy</li><li>SQL</li><li>TensorFlow, PyTorch<br /> </li></ul><h3><b>GenAI / LLMs</b></h3><ul><li>Experiência ou familiaridade com Transformers</li><li>Prompt engineering</li><li>Uso de APIs: OpenAI, Anthropic, Gemini ou LLMs open-source<br /> </li></ul><h3><b>Frameworks (Desejáveis)</b></h3><ul><li>LangChain</li><li>LlamaIndex</li><li>Orquestração de agentes e fluxos de GenAI</li></ul><h3><b>Modelos &amp; Estatística</b></h3><ul><li>scikit-learn</li><li>statsmodels</li><li>Noções sólidas de modelagem de séries temporais<br /> </li></ul><h3><b>✨ Nice to Have</b></h3><ul><li>Fine-tuning, LoRA/PEFT e outras técnicas de adaptação leve de modelos<br /> </li></ul><h1><b>Requisitos Essenciais</b></h1><ul><li>3 a 5 anos de experiência prática em Data Science, ML ou Applied AI</li><li>Histórico comprovado construindo e/ou implantando modelos de ML</li><li>Base sólida em estatística, machine learning e análise de dados</li><li>Código claro, estruturado e sustentável</li><li>Raciocínio analítico forte e pensamento estruturado</li><li>Conforto para trabalhar com grandes volumes de dados reais<br /> </li></ul><h1><b>Desejáveis (Retail / FMCG)</b></h1><ul><li>Experiência prévia com varejo, FMCG ou analytics de operações</li><li>Capacidade de compreender desafios de negócio e transformá-los em soluções de IA</li></ul><h1><b>O que valorizamos</b></h1><ul><li>Mentalidade prática para escolher entre ML clássico e GenAI</li><li>Autonomia, senso de dono e capacidade de trabalhar com baixa supervisão</li><li>Curiosidade, vontade de aprender e proatividade</li><li>Foco em entregar valor com soluções escaláveis e aplicáveis</li></ul></div>",
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