Cientista de Dados SR

📋 Description

• Develop, implement, and optimize allocation and optimization algorithms for distributing products
• Maintain and enhance inventory simulators for scenario analysis, replenishment policy testing
• Transform data science prototypes and notebook-based models into scalable production-ready
• Build, maintain, and optimize large-scale data pipelines supporting analytical and operational
• Analyze business indicators like service level, stockouts, inventory turnover, and fill rate
• Communicate analytical results and improvement opportunities to business stakeholders and technical

🎯 Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related
• Solid experience in Data Science solving real-world business challenges; production-focused.
• Advanced Python with NumPy and Pandas.
• Strong SQL skills for querying and analyzing data.
• Statistics and probability applied to forecasting, inventory management, and service-level metrics.
• Hands-on experience with PySpark for large-volume data processing.

🎁 Benefits

• Opportunity to work on complex, high-impact data science challenges with direct business impact.
• Exposure to large-scale data, cloud technologies, optimization, simulation, and advanced analytics.
• Collaborative environment focused on innovation, continuous learning, and technical excellence.
• Opportunities for technical leadership, mentoring, and professional development.
• Interaction with multidisciplinary teams and stakeholders across business areas.
• Contribution to scalable production solutions and knowledge-sharing culture.