Addvisor Group
201 - 500 employees
Founded 2004
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Addvisor Group is a Brazilian enterprise software and consulting company that provides fiscal and business-process automation solutions for medium and large companies. Its flagship product, AddTax (and SmartDocx), is a SaaS platform that automates capture, orchestration and compliance of fiscal documents (NF-e, NFS-e, CT-e, MDF-e, etc. ), integrates natively with SAP (ECC and S/4HANA) and via APIs with other ERPs, and supports tax compliance across thousands of Brazilian municipalities and multiple countries. Addvisor also offers implementation and consulting services, including ERP selection and SAP implementations, focused on reducing operational costs, fines and improving financial and tax efficiency.
Senior Data Scientist
🕒 July 7
🗣️🇧🇷🇵🇹 Portuguese Required
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Addvisor Group
201 - 500 employees
Founded 2004
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Addvisor Group is a Brazilian enterprise software and consulting company that provides fiscal and business-process automation solutions for medium and large companies. Its flagship product, AddTax (and SmartDocx), is a SaaS platform that automates capture, orchestration and compliance of fiscal documents (NF-e, NFS-e, CT-e, MDF-e, etc. ), integrates natively with SAP (ECC and S/4HANA) and via APIs with other ERPs, and supports tax compliance across thousands of Brazilian municipalities and multiple countries. Addvisor also offers implementation and consulting services, including ERP selection and SAP implementations, focused on reducing operational costs, fines and improving financial and tax efficiency.
📋 Description
• Data manipulation and statistical modeling. • Work with retail and e-commerce systems. • Implementation of data processes on AWS and other technologies.
🎯 Requirements
• Experience in data manipulation and statistical modeling (Python, SQL, PySpark); • Experience with Git and version control; • Strong experience in data science; • Experience with retail systems, especially inventory processes, reservations, holds, availability, and integration with e-commerce; • Knowledge of Oracle Retail, RMS, or legacy back-office systems; • Experience with high-volume data in MongoDB; • Experience with AWS, OpenShift, Docker, or Kubernetes; • Knowledge of event-driven architecture; • Experience with batch processes, workers, queues, and message reprocessing; • Knowledge of monitoring with Datadog, Dynatrace, CloudWatch, or similar tools; • Desired: • Experience with agile methodologies; • Experience with AWS (Glue, S3, SageMaker, Lambda, among others); • Experience with optimization problems
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