
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.
🕒 September 22
🗣️🇧🇷🇵🇹 Portuguese Required
Where this job comes from
Posted on AVANTTi's careers page, not through a job board
First seen by Remote Rocketship September 22
Still open on AVANTTi's site. Checked 8 hours ago.

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.
• Develop and calibrate hierarchical demand forecasting models, considering seasonality, regression levels, and features related to calendar, availability, and pricing • Design and conduct backtests and counterfactual analyses to compare decision policies • Apply rigorous statistical validation before implementing changes in production • Work with data pipelines at scale, ensuring experiment reproducibility, quality, and traceability • Partner with Engineering and MLOps teams on model deployment and management, including MLflow • Collaborate with business functions, such as Procurement, Pack, and Assortment, ensuring forecasts support strategic decisions • Document decisions, experiments, learnings, and results in a structured manner • Lead end-to-end technical investigations, from problem analysis through recommendation • Provide technical support and mentorship to more junior professionals
• Bachelor’s degree in Statistics, Economics, Engineering, Mathematics, Systems Analysis, or a related field • Solid experience with time series and forecasting • Advanced Python skills • Experience with PySpark in distributed environments, such as AWS Glue, EMR, or similar platforms • Strong statistical foundation in regression models, seasonality, hierarchical forecast reconciliation, experimental design, holdout testing, temporal validation, and counterfactual analysis • Experience with AWS, especially S3, Glue, and Step Functions • Methodological rigor in designing experiments, isolating variables, and determining whether a result is conclusive • Clear communication skills to translate technical results into business decisions • Preferred: experience with MLflow, experiment tracking, and model registry tools, or equivalent MLOps tools • Preferred: experience with Terraform / Infrastructure as Code (IaC) • Preferred: experience in the fashion and/or retail sector • Preferred: experience working with complex merchandising hierarchies
• CLT employment contract • 100% remote work — permanent remote arrangement • Project duration of 5 to 11 months, with the possibility of extension
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