Job Summary: Professional responsible for collecting, processing, and handling data; building predictive and Machine Learning models; and creating visualizations for data interpretation. Key Highlights: 1. Build predictive, statistical, and Machine Learning models. 2. Collaborate in multidisciplinary teams. 3. Translate complex models into actionable insights. **Senior Data Scientist:** * **Hiring Model:** PJ (Individual Contractor) * **Work Model:** Hybrid (3 days on-site) * **Location:** Rua Henri Dunant, Santo Amaro, São Paulo - SP * **Start Date:** Immediate Collect, process, and handle data from diverse sources and formats. Build predictive, statistical, and Machine Learning models. Create visualizations and dashboards for data interpretation. Conduct exploratory analyses and identify patterns and trends. Support business areas with data-driven insights. Ensure data quality, reliability, and governance. Automate analysis processes and report generation. Document processes, models, and metrics for reproducibility. Collaborate with multidisciplinary teams (IT, Product, Marketing, Finance). MAIN RESPONSIBILITIES * Experience in projects involving modeling, statistics, Machine Learning, and Business Analytics. * Experience implementing predictive models and analyzing large volumes of data. * Bachelor’s degree in Statistics, Mathematics, Engineering, Computer Science, IT, or related fields. * Postgraduate degree, MBA, or specialization in Data Science, Machine Learning, Analytics, or Artificial Intelligence. * Desired certifications: Data Science / Machine Learning (e.g., Microsoft, Google, IBM, DataCamp) / Big Data & Analytics (e.g., Databricks, AWS, Azure ML) REQUIREMENTS * Analytical and critical thinking. * Clear and concise communication with business and IT areas. * Proactivity and autonomy. * Curiosity and an investigative mindset. * Collaboration in multidisciplinary teams. * Ability to translate complex models into actionable insights. * Results-oriented mindset and commitment to continuous improvement. Technical Skills: * Advanced Python, R, and SQL. * Machine Learning, statistics, and predictive modeling. * Big Data: Spark, Hadoop, Databricks. * Visualization tools: Power BI, Tableau, Matplotlib, Seaborn. * Relational and non-relational databases (SQL Server, PostgreSQL, MongoDB). * ETL/ELT and data pipelines. * Cloud computing: AWS, Azure, GCP. - Documentation of models, processes, and results. Minimum Education Level: Bachelor's Degree Desired Education: Information Technology, Bachelor's Degree