Data Analyst

Role Summary

PCDs are always welcome.

We are looking for people passionate about technology. Someone who is motivated by challenges and acts autonomously. You need to like working in a team and have a collaborative spirit.

Technical reference for the Data Science team, acting as a reference in technical decisions, defining analytical architecture, best practices and directing deliveries.

Coordinate the development of Data Science solutions for processing, analyzing and extracting value from large volumes of data generated by distributed sensing systems and other high-frequency data sources;

Develop and implement Machine Learning, Artificial Intelligence models and advanced data analysis techniques for anomaly detection, event classification, pattern recognition and decision-making support;

• Design and implement data pipelines for ingestion, processing, transformation and availability of data in distributed and high-scale environments;
• Define and apply data treatment, cleaning, curation and enrichment strategies, ensuring quality, reliability and traceability of information;
• Develop algorithms and approaches for dimensionality reduction, data compression, distributed processing and optimization of computational performance;

Work together with Data Engineering, Architecture, Research and Development teams and domain experts to translate business challenges into scalable analytical solutions;

Conduct studies, proofs of concept (PoCs), experiments and evaluations of new technologies, methods and algorithms related to Data Science and Artificial Intelligence;

Ensure the adoption of good development, documentation, governance and monitoring practices for developed analytical models and products;

Support the technical evolution of the team through mentoring, code review, knowledge dissemination and development of internal capabilities;

Participate in defining the project's data and artificial intelligence strategy, contributing to the construction of scalable, robust and results-oriented solutions.

• Higher education in Computer Science, Engineering, Mathematics, Statistics, Physics or related areas
• Solid experience in Data Science, Machine Learning and Artificial Intelligence applied to large-scale data;
• Experience in technical leadership of teams, supporting architectural decisions, technical guidance, reviewing solutions and mentoring professionals;
• Knowledge in time series, anomaly detection, classification, clustering, dimensionality reduction and attribute engineering;
• Knowledge of signal processing, including filtering, FFT, wavelets and feature extraction;
• Experience with Python, SQL and main 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 modeling, quality, 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.

Benefits

"The Eldorado Research Institute values a diverse environment and is proud to be an organization that offers equal opportunities. Everyone who applies will be evaluated, regardless of race, disability, color, religion, sex, gender identity or expression, sexual orientation, nationality or age."