VAGA AFIRMATIVA PARA MULHERES - SENIOR DATA SCIENTIST (31939)

VAGA AFIRMATIVA PARA MULHERES - SENIOR DATA SCIENTIST (31939) Descrição da empresa: Na Bosch, moldamos o futuro por meio de inovações tecnológicas de alta qualidade e serviços que despertam entusiasmo e melhoram a vida das pessoas. Junte-se a nós e sinta a diferença. The LA AI & Data Center of Excellence seeks a highly skilled and motivated Senior Data Scientist to join our team. This role focuses on developing and deploying cutting-edge AI solutions, emphasizing automation, software engineering best practices, and production-ready code. This role requires proficiency in Python programming and experience with various machine learning, deep learning, generative and agentic AI. The successful candidate will work on projects across diverse business units, directly impacting critical decision-making and driving innovation. You will lead the development of intelligent systems with a strong emphasis on software and AI engineering best practices, automation, and continuous delivery. Responsibilities Lead the development of intelligent systems with a strong emphasis on software and AI engineering best practices, automation, and continuous delivery. Qualifications Experience And Knowledge (Mandatory) Strong experience in Data Science, Machine Learning, or AI Engineering roles, demonstrating a history of delivering impactful AI solutions. Expert-level Python programming, including Pandas, Polars, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, and experience with RESTful API development. Experience with Flask/FastAPI for API development is a plus. Strong software engineering foundation: Version control (Git), unit testing, CI/CD pipelines, Clean Code principles, and containerization (Docker, Kubernetes). Strong understanding of programming logic and object-oriented programming (OOP) principles to design modular, reusable, and maintainable code structures. Proven experience in end-to-end ML lifecycle: data preparation, model training, tuning, inference, deployment, monitoring, and retraining. Data handling expertise: Extraction, cleaning, transformation, and loading (ETL) from various sources (relational and non-relational databases, cloud storage, APIs). Experience with SQL, NoSQL and vector databases. Machine Learning & Deep Learning: Supervised and unsupervised learning techniques, including regression, classification, clustering, time series, and NLP (Natural Language Processing). Natural Language Processing (NLP): Experience with text preprocessing, pre-trained models (BERT, Roberta), fine-tuning, and NLP libraries (scikit-learn, spaCy, NLTK, Gensim). Experience with Generative AI (e.g., LLMs, prompt engineering, fine-tuning, RAG pipelines). Experience with cloud platforms: Azure (preferred), GCP or AWS, including their respective AI/ML services (e.g., Azure AI services). Strong understanding of model evaluation, feature engineering, and hyperparameter tuning. Experience And Knowledge (Desirable) Machine Learning & Deep Learning: Computer Vision. Hands-on experience with multi-agent systems and autonomous AI agents (e.g., LangChain, AutoGen, LangFlow), including the Model Context Protocol (MCP). Familiarity with data engineering: data warehousing and big data technologies (Spark, Hadoop, Databricks). Experience with MLOps tools and practices: MLFlow, Kubeflow, Docker, Kubernetes, Jenkins, GitHub Actions, Azure DevOps. Experience working with knowledge graphs and graph-based data representations, including tools like Neo4j, RDF, SPARQL, Stardog or graph neural networks for reasoning and relationship modeling. Domain knowledge in relevant industries (e.g., HR, marketing) and ability to assess business impact and profitability of AI models, including ROI estimation. Ph.D. in a relevant field. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Computer Engineering, Software Engineering, IT, Mathematics, or Physics. Team player with problem-solving, analytical thinking, pro-active attitude, self-taught mindset, and resilience. Strong communication and collaboration: ability to translate technical insights for diverse audiences; proven ability to work in agile, cross-functional teams. Continuous learning: passion for staying current with AI advancements Languages: Portuguese (Brazilian) and fluent in English. German is a plus. Informações Adicionais Benefícios da Bosch Programas de Bem-Estar e Saúde, assistência médica/odontológica, subsídios para medicamentos, política de home office (quando aplicável), PLR, previdência privada, seguro de vida, clube Bosch, creche, licença maternidade/adotação estendida, licença paternidade, alimentação no local, transporte/estacionamento, treinamentos corporativos, prêmios por tempo de casa, voluntariado, descontos com parceiros. Informações adicionais: vaga elegível para pessoas com deficiência, modelo de trabalho home office, área contratante BD/AMA-LAS1, prazo: 04/08/2025. Sinta a diferença. Work. bosch.com.br/carreiras J-18808-Ljbffr

Location: Campinas, São Paulo, BR

Posted Date: 10/28/2025