03/26/2026 updated
JS
100 % available
Data Scientist & Mechanical Engineer
Florianópolis, Brazil
Worldwide
MBA in Data Science & AnalyticsHTMLJavaScriptResearchArtificial IntelligenceAmazon Web ServicesData AnalysisAutomationBusiness IntelligenceBig DataBusiness EfficiencyC++ (Programming Language)Cascading Style Sheets (CSS)Network AnalysisCloud ComputingForensic Sciences
Machine Learning & AI
Advanced expertise in machine learning, deep learning, artificial intelligence, and generative AI for predictive modeling, fraud detection, and automated reporting solutions
Data Analysis & Engineering
Comprehensive skills in Python, R, SQL programming with ETL/ELT processes, data pipeline optimization, and statistical analysis for business intelligence
Cloud & Analytics Platforms
Proficiency in AWS, Salesforce, Power BI, Tableau for building analytical dashboards, data-driven metrics, and scalable cloud-based data solutions
Programming Languages
Expertise in Python, R, SQL, NoSQL, JavaScript, C++, MATLAB, HTML, CSS for diverse data science and engineering applications
Data Science Libraries
Advanced knowledge of Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow, Keras, Seaborn, OpenCV, PyTorch for machine learning implementations
Big Data Technologies
Experience with Apache Spark, NetworkX for large-scale data processing and network analysis
Business Intelligence Tools
Proficiency in Power BI, Tableau, Salesforce for creating executive dashboards and strategic decision-making support
Forensic Engineering
Specialized skills in forensic data analysis, technical investigations, evidence-based reporting, and expert witness capabilities
IoT Data Analysis
Experience in analyzing IoT data from solar panels and industrial systems for operational efficiency and fault detection
Advanced expertise in machine learning, deep learning, artificial intelligence, and generative AI for predictive modeling, fraud detection, and automated reporting solutions
Data Analysis & Engineering
Comprehensive skills in Python, R, SQL programming with ETL/ELT processes, data pipeline optimization, and statistical analysis for business intelligence
Cloud & Analytics Platforms
Proficiency in AWS, Salesforce, Power BI, Tableau for building analytical dashboards, data-driven metrics, and scalable cloud-based data solutions
Programming Languages
Expertise in Python, R, SQL, NoSQL, JavaScript, C++, MATLAB, HTML, CSS for diverse data science and engineering applications
Data Science Libraries
Advanced knowledge of Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow, Keras, Seaborn, OpenCV, PyTorch for machine learning implementations
Big Data Technologies
Experience with Apache Spark, NetworkX for large-scale data processing and network analysis
Business Intelligence Tools
Proficiency in Power BI, Tableau, Salesforce for creating executive dashboards and strategic decision-making support
Forensic Engineering
Specialized skills in forensic data analysis, technical investigations, evidence-based reporting, and expert witness capabilities
IoT Data Analysis
Experience in analyzing IoT data from solar panels and industrial systems for operational efficiency and fault detection
Languages
GermanFluentEnglishFluentPortugueseNative speakerSpanishGood
Project history
Designing and delivering end-to-end data science solutions, applying machine learning models for risk detection and operational decision-making, conducting EDA for fraud and AML analysis, developing automated data solutions and analytical dashboards
Leading data science and forensic engineering projects for technical investigations, conducting statistical analyses and ETL processes, designing predictive models for technical conclusions and producing expert reports
Performing IoT data analysis of solar panels for engineering and logistics teams, developing data-driven insights through metrics and dashboards, acting as liaison between departments and German-speaking teams