Data Scientist - Recife

Description

Job Summary: A professional to support the management consulting team in conducting data analyses, contributing to diagnostics, opportunity identification, and strategic decision-making. Key Highlights: 1. Practical experience in Machine Learning projects applied to real-world problems. 2. Proficiency in Python for data analysis and statistical modeling. 3. Collaborative work in multidisciplinary teams and effective communication. **Responsibilities:** * Support the management consulting team in conducting data analyses, contributing to scenario diagnostics, opportunity identification, and strategic decision-making support. * Perform data collection, cleaning, and pre\-processing from multiple sources (internal and external), ensuring data quality, consistency, and integrity. * Develop, test, and validate analytical models, including predictive and prescriptive approaches, with a focus on generating business value. * Translate analytical results into actionable insights through clear, concise, and visually engaging reports and presentations. * Participate in client meetings to gather requirements, understand business problems, and present data-driven solutions. * Collaborate within multidisciplinary teams, maintaining effective communication with both technical and non-technical stakeholders. **Requirements:** * Bachelor's degree in Administration, Economics, Engineering, Statistics, or related fields. * Postgraduate degree or specialization in Data Science, Data Analytics, or related areas. * Practical experience in Machine Learning projects applied to real-world problems. * Proficiency in Python for data analysis, statistical modeling, and solution development. * Knowledge of SQL for data extraction, manipulation, and analysis in relational databases. * Familiarity with modern data environments, including distributed processing tools (e.g., Spark) and cloud platforms (AWS, Azure, or GCP). * Availability for hybrid work arrangements and occasional travel. **Technical Requirements:** * Proficiency in Python for developing data pipelines and analytical models. * Experience with Machine Learning libraries (e.g., scikit\-learn, statsmodels, or similar). * Experience with anomaly detection techniques and/or time series modeling. * Experience with SQL and relational databases. * Experience with model deployment, either via APIs (FastAPI, Flask) or batch pipelines. * Experience integrating with APIs and ingesting external data. **Preferred Qualifications:** * Experience building and maintaining data pipelines (ETL/ELT). * Knowledge of geospatial data analysis or urban data analysis. * Experience with process automation and applications involving Generative AI (LLMs). * Practical experience monitoring models in production, including drift detection and re\-training strategies.