Senior Data Scientist

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AGGRANDIZE

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🔒 Cybersecurity

🏢 Enterprise

Cybersecurity • AI • Enterprise

AGGRANDIZE is a technology company focused on transforming business challenges into solutions through innovation and expertise. Since 2015, AGGRANDIZE has been offering a wide range of services including Modern Applications, Platform Engineering, Cyber Security, Data Analytics, and Artificial Intelligence. With a team of certified professionals, the company aims to enhance the operations and success of its clients and partners.

📋 Description

• Perform advanced data analyses to generate strategic insights and support decision-making • Develop Machine Learning, Deep Learning, and NLP models applied to business challenges • Work end-to-end in the data lifecycle, from ingestion and preprocessing to deployment and monitoring of models in production • Support the design and maintenance of data pipelines (ETL/ELT), ensuring data quality, scalability, and reliability • Develop, validate, and deploy predictive models to production • Work with large volumes of data, optimizing performance and processing • Integrate analytical solutions into systems and corporate applications • Implement continuous model monitoring, tracking accuracy, drift, and performance metrics • Automate analytical processes and data pipelines • Collaborate with multidisciplinary teams in engineering, product, and business to ensure real impact on company initiatives.

🎯 Requirements

• Advanced proficiency in Python for data analysis and model development • Strong experience with SQL for data manipulation and analysis • Practical experience with Machine Learning and Deep Learning in production environments • Knowledge of Natural Language Processing (NLP) • Experience with analytical libraries and frameworks such as Pandas, Scikit-Learn, TensorFlow, PyTorch, or similar • Knowledge of applied statistics, including hypothesis testing, statistical inference, and experimentation • Experience handling large-scale datasets • Experience building and automating data pipelines (ETL/ELT) • Experience with cloud environments (AWS, Azure, or GCP) • Ability to develop scalable analytical solutions oriented to business results.

🏖️ Benefits

• Meal allowance / food voucher of R$39.71/day (flexible card) • Flexible allowance of R$210/month (flexible card) • TotalPass • Health and dental insurance • Life insurance • Profit-sharing (PLR) • Birthday day off • Trainings and certifications covered by Aggrandize • Employee referral bonus program • Career development track