**Role in the company** Act as a data scientist for clients, developing AI and machine learning models. This includes applying statistical techniques, data modeling, and programming skills to solve complex problems, build prediction and recommendation algorithms, and work with LLMs in GenAI, etc. **Responsibilities** Proficiency in Python, Pandas, Plotly, Scikit\-learn, and TensorFlow. Skills in preprocessing, feature engineering, and time series analysis. Contribution to the TDSP methodology and facilitation of meetings. Mentoring junior team members and contributing to the Deployment phase. Independent execution of analyses, detailed scoping, and client interaction. Technical documentation, presentations, and participation in resource estimation. Data collection and preprocessing from diverse sources. Experience with Big Data tools such as Apache Spark. Advanced statistical analysis, regressions, and principal component analysis. Independent machine learning modeling with emphasis on sophisticated models and deep learning. Rigorous model evaluation, regularization techniques, and ensemble methods. Effective communication of complex insights using advanced visualization tools. Proficiency in cloud platforms, pipeline optimization, and large-scale ML solution implementation. **Requirements** Proficiency in Python, with focus on functional and object-oriented programming. Advanced experience with Pandas, Plotly, Scikit\-learn, and TensorFlow. Competence in preprocessing and feature engineering. Familiarity with and contribution to the TDSP methodology. Ability to facilitate Business Understanding meetings and present results. Capability to mentor junior team members and contribute to the Deployment phase. Independent execution of analyses, detailed scoping, and client interaction. Technical documentation, presentations, and participation in resource estimation. Data collection and preprocessing from diverse sources. Experience with Big Data tools such as Apache Spark. Competence in modeling classification and regression problems. Experience in Generative AI projects. Independent machine learning modeling with emphasis on sophisticated models and deep learning. Effective communication of complex insights using advanced visualization tools. Proficiency in cloud platforms, pipeline optimization, and large-scale ML solution implementation. **Nice-to-have** Microsoft Certified: Azure AI Engineer Associate and/or AWS Certified Machine Learning Engineer \- Associate certification Experience in complex data analysis and machine learning projects. Contribution to optimizing processes and improving data pipeline efficiency. Involvement in research initiatives and implementation of new technologies. In-depth knowledge of deep learning frameworks such as TensorFlow or PyTorch. Implementation of large-scale ML solutions using AWS, Azure, or Google Cloud. **What we offer:** * **Medical allowance:** Monthly financial support to assist with your health insurance plan. * **Wellhub**, to keep your body and mind active in the way you prefer. * **Online therapy**, fully covered by the company, because mental health matters. * **Online nutrition counseling**, with up to two monthly consultations to support your dietary health. * ️ **Life insurance**, with a policy value of BRL 125,000, providing greater security for you and your family. * **Birthday day off**, because your special day deserves to be celebrated. * **Paid time off**, so you can recharge your energy. * **Internal gamification**, transforming achievements into rewards and recognition. * **Educational partnerships**, with institutions such as FIAP, Anhanguera, and Instituto Infnet, to support your growth and learning. * **Technical certification bonus**, recognizing and rewarding your effort to learn. * **Free English classes**, to strengthen your development and expand your career opportunities. ***We value every voice and every individual, because we know diversity makes us more innovative and stronger.***
João Silva
Indeed · HR
João Silva
Indeed · HR
