Data Scientist

Role Overview

We are seeking a Data Scientist with a growth mindset and passion for turning data and AI into measurable business value. This individual thrives in cross-functional environments, acts as a trusted advisor to business stakeholders, and champions a culture of innovation, experimentation, and continuous learning.

What You Will Do

Partner with business teams to identify, prioritize, and deliver data science, segmentation and AI use cases that generate measurable business value. Design, develop, and deploy advanced analytics, machine learning, GenAI, and predictive solutions to solve critical business challenges.

Why It Might Be a Fit

Acts as a catalyst for AI adoption, helping teams identify opportunities, build capabilities, and embed data-driven ways of working. Fully engaged with the Company’s mission, demonstrating strong ethics, curiosity, collaboration, and commitment to patient and business impact.

Requirements

• 3+ years of experience in Data Science, Advanced Analytics, Machine Learning, Artificial Intelligence, Business Intelligence, or related fields.
• Hands-on experience across the end-to-end analytics lifecycle, including data exploration, preparation, feature engineering, model development, validation, deployment, monitoring, and value measurement.
• Experience with Generative AI technologies, large language models (LLMs), AI copilots, AI agents, prompt engineering, retrieval-augmented generation (RAG), or similar emerging AI capabilities.
• Strong programming skills in Python and/or R, with experience in SQL and modern data science frameworks and libraries.
• Experience translating business opportunities into analytical and AI solutions while managing stakeholder expectations and driving adoption.
• Consulting, communication, and change management skills, with the ability to influence stakeholders across different levels of the organization.
• Experience identifying, evaluating, and prioritizing innovation opportunities using data automation and AI technologies.
• Knowledge of cloud analytics environments and AI platforms (Azure, Databricks, AWS, GCP, or equivalent) is preferred.
• Ability to work in agile, cross-functional teams and lead initiatives that drive organizational change and capability building.
• Fluency in Portuguese and English, both written and spoken.
• Degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Economics, or a related quantitative field.

Benefits

• Dental insurance
• Vision insurance
• Flexible work arrangements
• Valid driving license
• Hazardous material(s) not specified