Data Scientist

Job Description

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.

• Passionate about using data science, Artificial intelligence and emerging technologies to improve decision-making, customer experiences, and business outcomes.
• 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.

• →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.
• →Translate complex business needs into scalable data products, insights, models, and AI-enabled solutions.
• →Act as an AI enabler by promoting adoption of AI technologies, educating stakeholders, facilitating experimentation, and driving responsible AI practices.
• →Develop prototypes, proofs of concept, and minimum viable products (MVPs) to accelerate innovation and validate business opportunities.
• →Leverage modern data platforms, cloud technologies, machine learning frameworks, and generative AI capabilities to improve efficiency and effectiveness across business processes.
• →Collaborate with data engineers, data teams, commercial functions, and business leaders to ensure solutions are sustainable, scalable, and aligned with strategic priorities.
• →Communicate analytical findings and AI opportunities clearly to both technical and non-technical audiences, enabling informed decision-making.
• →Foster a culture of continuous learning, knowledge sharing, experimentation, and innovation across the organization.
• →Ensure compliance with data governance, privacy, security, and responsible AI standards.

• 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.

Current Employees apply HERE

Current Contingent Workers apply HERE