Senior Data Scientist

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AVANTTi

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

AVANTTi is a Brazilian technology services company that helps organizations maximize the value of their technology and innovation projects through its VMO (Value Management Office) methodology. It offers IT staffing and hunting (outsourcing/bodyshop), rapid squad formation, a software factory for technologies like ABAP, Java and . NET, and portfolio/SAFe management to support digital transformation across sectors such as banking, manufacturing, logistics, retail and education. The company operates from Curitiba, São Paulo and Rio de Janeiro and focuses on B2B delivery, enterprise IT solutions and talent allocation.

📋 Description

• Develop and enhance allocation and optimization algorithms for distributing products between distribution centers and stores • Maintain and improve inventory simulators for scenario testing, replenishment policies, backtesting and what-if analyses • Convert prototypes in notebooks into production-ready solutions using large-scale data pipelines • Analyze and communicate business KPIs, such as service level, stockouts, turnover and fill rate • Collaborate with Data Engineering teams on the operation and evolution of pipelines in AWS • Apply statistics, probability and Data Science techniques to complex business problems • Contribute technically to solution improvements and support other data scientists when needed

🎯 Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics or a related field • Proven experience in applied Data Science projects with business impact • Advanced Python, especially NumPy and Pandas • SQL • Knowledge of statistics and probability applied to forecasting and service level analysis • Experience with PySpark and large-scale data processing/pipelines • Experience with AWS, especially Glue and S3 • Nice-to-have: experience with Numba JIT, allocation and optimization algorithms, multi-echelon inventory simulation, Polars, Streamlit, Plotly, Terraform, CI/CD, AWS Step Functions, and technical leadership/mentoring of data scientists