
51 - 200 employees
Founded 2009
🤝 B2B
☁️ SaaS
🏢 Enterprise
B2B • SaaS • Enterprise
IEBT Innovation is a Brazilian innovation accelerator and consultancy that provides end-to-end innovation and digital transformation services to corporations, governments, universities and ecosystems. It operates the ZING platform for managing innovation hubs, challenges and entrepreneurship programs, runs acceleration programs, evaluates startups, and helps partners capture funding and build digital solutions. With a team of ~180 innovation and technology professionals, IEBT focuses on corporate innovation, public-sector projects, capacity-building and technology-enabled program delivery.
🔥 6 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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51 - 200 employees
Founded 2009
🤝 B2B
☁️ SaaS
🏢 Enterprise
B2B • SaaS • Enterprise
IEBT Innovation is a Brazilian innovation accelerator and consultancy that provides end-to-end innovation and digital transformation services to corporations, governments, universities and ecosystems. It operates the ZING platform for managing innovation hubs, challenges and entrepreneurship programs, runs acceleration programs, evaluates startups, and helps partners capture funding and build digital solutions. With a team of ~180 innovation and technology professionals, IEBT focuses on corporate innovation, public-sector projects, capacity-building and technology-enabled program delivery.
• Explore, clean, and analyze large volumes of data (structured and unstructured) to identify patterns, anomalies, and opportunities. • Develop, train, and validate predictive and prescriptive Machine Learning models (regression, classification, clustering, time series, etc.). • Create rigorous statistical analyses and hypothesis tests to validate business assumptions. • Translate complex mathematical metrics into reports and dashboards (Data Storytelling) for technical and non-technical stakeholders. • Collaborate with data engineers to design efficient data pipelines that feed models in a scalable way.
• Experience with: Python (Pandas, NumPy, Scikit-Learn, SciPy) or R. • Proficiency with data querying and manipulation tools: advanced SQL. • Hands-on experience with Machine Learning frameworks (XGBoost, LightGBM) and Deep Learning (TensorFlow or PyTorch). • Strong knowledge of Statistics (probability, regression, A/B testing) and Linear Algebra. • Experience with data visualization tools (Power BI, Tableau, or Looker).
• Health and Dental Plan • Home Office Allowance • Meal Allowance • Paid Vacation • Birthday Day Off • Health and Wellness Program • Individual Development Program (IDP)
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