
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.
🔥 0 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.
• Support the collection, organization, cleaning, and analysis of structured and unstructured data. • Assist in the development and validation of Machine Learning models under the guidance of the team. • Contribute to statistical analyses to support studies and decision-making. • Develop reports and dashboards to present metrics and results. • Collaborate with data and technology teams in preparing and processing datasets. • Document analyses, processes, and project results.
• Bachelor's degree in progress or completed within the last 2 years in Computer Science, Engineering, Statistics, Mathematics, Information Systems, Data Science, or related fields. • Knowledge of Python (Pandas, NumPy, Scikit-Learn) or R. • Basic SQL skills for querying and manipulating data. • Basic knowledge of statistics (probability, regression, hypothesis testing). • Interest in Machine Learning and Artificial Intelligence. • Familiarity with data visualization tools such as Power BI, Tableau, or Looker is a plus. • Having completed academic, personal, or research projects related to data will be considered an advantage.
• Health and dental insurance • Remote work allowance • Paid leave • Birthday day off • Health and wellness program • Individual Development Program (IDP)
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