Vaga de parceiro

Senior Data Scientist - Campinas / SP

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • The professional will be responsible for collecting, processing, and analyzing large volumes of data, transforming them into actionable insights that will support the company''s strategic decision-making.
  • We are looking for someone with strong analytical skills, advanced technical abilities, and excellent communication to translate complex findings into clear and useful information for different areas of the business.
  • ResponsibilitiesData Collection and Processing: Extract, clean, and organize data from various sources, ensuring its integrity and quality.
  • Exploratory Data Analysis: Conduct in-depth analyses to identify trends, patterns, and improvement opportunities.
  • Predictive Model Development: Create and implement statistical and machine learning models to predict future behaviors and outcomes.
  • Data Visualization: Develop interactive dashboards and reports that facilitate the understanding of generated insights.
  • Interdisciplinary Collaboration: Work together with IT, marketing, operations, and other teams to understand needs and provide data-driven solutions.
  • Continuous Learning: Stay updated on best practices and new tools in data science, proposing innovations that can be applied within the company.
  • RequirementsAcademic Background: Bachelor''s degree in Data Science, Statistics, Mathematics, Engineering, or related fields.
  • Professional Experience: Experience as a Data Scientist or in similar roles.
  • Python Programming: Proficiency in libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Keras, among others.
  • SQL Programming: Proficiency in querying and manipulating data in relational and non-relational databases.
  • Data Visualization: Experience with tools like Matplotlib, Seaborn, Plotly, Power BI.
  • Cloud Platforms: Practical knowledge in services from AWS, Google Cloud, or Microsoft Azure.
  • Machine Learning & Deep Learning: Proven experience with supervised and unsupervised learning techniques.
  • Natural Language Processing (NLP): Knowledge in techniques and tools for natural language analysis.
  • Statistics: Solid understanding of statistical concepts and techniques.
  • Code Versioning: Knowledge in Git for version control.
  • MLOps: Experience with automating machine learning pipelines, model monitoring, versioning, and deployment.
  • Docker: Practical experience in containerizing machine learning models and applying best deployment practices in scalable environments.
  • LangChain and LangGraph: Experience with LangChain to integrate language models with external sources (APIs, databases, documents) and with LangGraph to create intelligent and autonomous agents, building interactive and automated workflows.
  • DifferentialsAgile Methodologies: Experience with frameworks like Scrum or Kanban.
  • Communication: Ability to translate technical insights into accessible information for non-technical audiences.
  • Problem-Solving: Capacity to approach complex challenges analytically and creatively.
  • Teamwork: Ease in collaborating in multidisciplinary and multicultural environments.
  • - Prazo:01/05/2025#J-18808-Ljbffr

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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