
1001 - 5000 employees
Founded 1999
🚘 Automotive
🏥 Healthcare
📦 Logistics
Automotive • Healthcare • Logistics
Instituto de Pesquisas Eldorado is a leading research and development institute providing innovative technology solutions to accelerate digital transformation. With over 20 years of experience, the institute specializes in product certification for telecommunications, laboratory testing, and offers consulting services in innovation across various sectors including agriculture, automotive, energy, healthcare, and Oil & Gas. They also focus on training and education to enhance technological capacity and foster partnerships for technological advancements.
🔥 13 hours ago
🗣️🇧🇷🇵🇹 Portuguese Required
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1001 - 5000 employees
Founded 1999
🚘 Automotive
🏥 Healthcare
📦 Logistics
Automotive • Healthcare • Logistics
Instituto de Pesquisas Eldorado is a leading research and development institute providing innovative technology solutions to accelerate digital transformation. With over 20 years of experience, the institute specializes in product certification for telecommunications, laboratory testing, and offers consulting services in innovation across various sectors including agriculture, automotive, energy, healthcare, and Oil & Gas. They also focus on training and education to enhance technological capacity and foster partnerships for technological advancements.
• Serve as the technical reference for the Data Science team, guiding technical decisions, analytical architecture, best practices, and deliverables • Coordinate the development of Data Science solutions to process, analyze, and extract value from large volumes of data generated by distributed sensing systems and other high-frequency sources • Develop and implement Machine Learning, Artificial Intelligence, and advanced techniques for anomaly detection, event classification, pattern recognition, and decision support • Design and implement data pipelines for data ingestion, processing, transformation, and delivery in distributed, large-scale environments • Define and apply data handling, cleansing, curation, and enrichment strategies, ensuring data quality, reliability, and traceability • Develop algorithms for dimensionality reduction, data compression, distributed processing, and computational performance optimization • Collaborate with Data Engineering, Architecture, Research and Development teams, and subject-matter experts to translate business challenges into scalable analytical solutions • Conduct studies, proofs of concept, experiments, and evaluations of new Data Science and Artificial Intelligence technologies, methods, and algorithms • Ensure best practices in the development, documentation, governance, and monitoring of models and analytical products • Support the team’s technical development through mentoring, code reviews, knowledge sharing, and the development of internal capabilities • Participate in defining the project’s data and artificial intelligence strategy, contributing to scalable, robust, and results-oriented solutions
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field • Strong experience in Data Science, Machine Learning, and Artificial Intelligence applied to large-scale data • Experience providing technical leadership to teams, supporting architectural decisions, technical direction, solution reviews, and professional mentoring • Knowledge of time series, anomaly detection, classification, clustering, dimensionality reduction, and feature engineering • Knowledge of signal processing, including filtering, FFT, wavelets, and feature extraction • Experience with Python, SQL, and leading frameworks and libraries for data analysis and Machine Learning • Knowledge of Big Data architectures, distributed processing, Data Lakes, NoSQL databases, and streaming data processing • Experience in data modeling, data quality, data governance, and data architecture • Knowledge of Data-Centric AI, data compression, and distributed processing • Experience with APIs, microservices, containers, and cloud environments • Ability to transform business problems into scalable, data-driven analytical solutions • Advanced English proficiency
• Inclusion of people with disabilities: people with disabilities are always welcome • Equal opportunities regardless of race, disability, color, religion, sex, gender identity or expression, sexual orientation, nationality, or age • Remote work
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