VAGA AFIRMATIVA PARA MULHERES - SENIOR DATA SCIENTIST (31939)

Robert Bosch Group; Campinas; Presencial; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

Uma empresa multinacional de tecnologia em Campinas está buscando um(a) Senior Data Scientist para desenvolver soluções de IA de ponta. O candidato ideal deve ter experiência sólida em Python e Machine Learning, com forte ênfase em práticas de engenharia de software. A função requer colaboração com equipes multifuncionais para otimizar decisões estratégicas e impulsionar inovações. Oferecemos um ambiente dinâmico com um foco em aprendizagem contínua.

Qualificações

• Proficiência em Python com experiência em bibliotecas como Pandas e NumPy.
• Experiência em Modelagem de Machine Learning e ciclo de vida de ML.
• Forte base em engenharia de software e princípios OOP.

Responsabilidades

• Desenvolver soluções de IA e sistemas inteligentes.
• Trabalhar em projetos que impactam a tomada de decisões.
• Garantir práticas de entrega contínua e automação.

Conhecimentos

Python

Machine Learning

Deep Learning

NLP

ETL

Containerization

Formação académica

Bacharelado ou Mestrado em Ciência da Computação

Ferramentas

Pandas

TensorFlow

PyTorch

Docker

Kubernetes

Descrição da oferta de emprego

VAGA AFIRMATIVA PARA MULHERES - SENIOR DATA SCIENTIST (31939)

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.

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 (Machine Learning) 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):

• 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: experience with 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 (e.g., industry, laws, HR, marketing).
• Ability to assess the business impact and profitability of AI models, including cost-benefit analysis, ROI estimation, and value tracking post-deployment.
• Ph.D. in a relevant field.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Computer Engineering, Software Engineering, Information Technology, Mathematics, or Physics.
• Personality and working method: team player, problem-solving, analytical thinking, proactive, self-taught, and resilient.
• Strong communication & collaboration: ability to translate technical insights into accessible information for diverse audiences. Proven ability to work effectively 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.

- Prazo: 04/08/2025