Instituto de Pesquisas Eldorado
Instituto de Pesquisas Eldorado
1,001 – 5,000 Employees
AutomotiveHealthcareLogistics
Instituto de Pesquisas Eldorado is a Brazilian research and development institute established in 1999, helping organizations turn technology initiatives into tested products and practical innovation. Its work includes telecommunications product certification, laboratory testing, and innovation consulting for sectors such as automotive, healthcare, logistics, agriculture, energy, and Oil & Gas. The institute also develops training and education programs and collaborates with industry and research partners to expand technological capabilities.

Senior Data Analyst, Machine Learning – Hybrid Brazil

Senior Data Analyst developing Machine Learning models and optimization solutions for advanced analytics, process improvement, and decision-making at Eldorado’s R&D center.

Description

  • Develop, train, and deploy Machine Learning models to address practical business challenges
  • Clean, transform, and manage large datasets while maintaining data quality and integrity
  • Perform exploratory analysis and derive insights from structured and unstructured data
  • Partner with cross-functional teams to translate business needs into technical solutions
  • Build efficient, scalable data pipelines and automated workflows
  • Design predictive analytics algorithms that incorporate variables defined by business rules
  • Communicate analytical findings and recommendations clearly to internal and external stakeholders
  • Monitor developments in data science and Machine Learning to apply relevant advances
  • Create optimization models with mathematical programming, heuristics, and metaheuristics

Requirements

  • Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, or a related discipline
  • Solid understanding of statistics
  • Demonstrated experience in data analysis and analytical methods
  • Professional experience using Python, including pandas, NumPy, and Matplotlib
  • Advanced English skills for collaboration with an international team
  • Master’s degree in an Exact Sciences research field is preferred
  • Knowledge of optimization methods, mathematical programming, heuristics, and metaheuristics is preferred
  • Knowledge of Machine Learning and Deep Learning algorithms and libraries, including scikit-learn, PyTorch, and TensorFlow, is preferred
  • Ability to structure complex problems and propose computational architectures to solve them

Benefits

  • People with disabilities are encouraged to apply
  • An inclusive workplace committed to equal opportunity
  • Work on meaningful projects with positive real-world impact
  • Opportunities to expand experience and apply expertise to relevant projects

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