Senior Data Scientist

Job not on LinkedIn

🕒 November 7, 2025

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Five Acts

Five Acts

51 - 200 employees

Founded 2005

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Five Acts is a company specialized in building and evolving data platforms using modern technologies and cloud architecture. Through their accelerators and processes, they create data products that deliver value swiftly for businesses. Five Acts focuses on data engineering, analytical intelligence, and machine learning to help companies harness the power of their data, transforming it into actionable insights. With over 300 clients and a strong track record of completed projects, Five Acts is dedicated to helping organizations improve through effective data strategies.

📋 Description

• Build machine learning models • Analyze data and develop text mining algorithms to extract insights • Apply regression techniques to model complex relationships within data • Evaluate models to ensure accuracy and effectiveness • Design controlled experiments, monitor their performance, and report results to test hypotheses • Support the team in decision-making • Collaborate with technical teams for development and knowledge sharing • Communicate information and ideas clearly and concisely to stakeholders.

🎯 Requirements

• Experience building machine learning, text mining, and regression models • Proficiency in statistical and data analysis • Hands-on experience with Python, R, PySpark, SQL, and Hadoop environments • Experience with Azure and Databricks • Currently pursuing a university degree • Customer-focused mindset and clear, concise communication skills.

🏖️ Benefits

• Meal and food vouchers (Swile) • Flexible home-office allowance credit (Swile) • Up to 100% coverage for health and dental plans • Group life insurance • Remote work • Mental health support — online and in-person psychotherapy • Support for certifications and courses • Partnership for postgraduate and MBA courses (ESALQ/USP) • Partnerships with language schools • Partnerships with gyms and wellness apps (Wellhub) • Internal seminars and discussion groups • Referral bonus • Happy hours • Gifts on special occasions

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