Senior Data Scientist

BrazilFull-timePosted Jul 14, 2026
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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist based in Brazil.

Join a high-impact data team dedicated to solving complex real-world problems through machine learning and artificial intelligence. This role offers the opportunity to work on innovative products that directly enhance customer experiences, including search and recommendation systems, conversational AI, pricing models, and intelligent automation solutions. You will collaborate with multidisciplinary teams composed of product managers, engineers, designers, and machine learning specialists in a fast-paced, remote-first environment. The position combines scientific rigor with product thinking, allowing you to take ownership of projects from experimentation to production deployment. This is an ideal opportunity for a data professional who enjoys tackling challenging problems, influencing technical strategy, and shaping the future of AI-driven products at scale.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist based in Brazil.

Join a high-impact data team dedicated to solving complex real-world problems through machine learning and artificial intelligence. This role offers the opportunity to work on innovative products that directly enhance customer experiences, including search and recommendation systems, conversational AI, pricing models, and intelligent automation solutions. You will collaborate with multidisciplinary teams composed of product managers, engineers, designers, and machine learning specialists in a fast-paced, remote-first environment. The position combines scientific rigor with product thinking, allowing you to take ownership of projects from experimentation to production deployment. This is an ideal opportunity for a data professional who enjoys tackling challenging problems, influencing technical strategy, and shaping the future of AI-driven products at scale.

Accountabilities:

    • Architect, develop, deploy, and optimize machine learning models and AI-driven applications for production environments, with a focus on areas such as search, recommendation systems, and conversational experiences.
    • Design, execute, and analyze experiments to validate hypotheses and improve product performance and customer outcomes.
    • Analyze large volumes of structured and unstructured data to uncover insights and develop scalable predictive solutions.
    • Apply scientific methodologies to generative AI initiatives, including prompt engineering, evaluation of AI agents, proof-of-concept development, and assessment of guardrails and model capabilities.
    • Collaborate closely with cross-functional teams including product managers, software engineers, machine learning engineers, and UX professionals to deliver impactful solutions.
    • Contribute actively to technical discussions, design reviews, knowledge-sharing initiatives, and strategic decisions within the broader data science community.
    • Provide technical guidance and mentorship to fellow data scientists, promoting best practices and continuous learning.
    • Requirements

      • Minimum of 3+ years of hands-on experience in data science, machine learning, or related disciplines, preferably in high-growth or technology-driven environments.
      • Strong expertise in machine learning concepts, including regression, classification, clustering, neural networks, feature engineering, model explainability, validation techniques, and performance optimization.
      • Solid understanding of the engineering aspects involved in deploying and maintaining machine learning systems in production.
      • Advanced proficiency in Python and experience working with data science and machine learning frameworks.
      • Knowledge of deep learning methodologies and modern AI techniques.
      • Experience with applied generative AI technologies, such as large language models (LLMs), prompt engineering, AI agents, model fine-tuning, monitoring, routing, and governance frameworks, is highly desirable.
      • Strong analytical mindset, problem-solving capabilities, and ability to work independently in ambiguous and complex scenarios.
      • Excellent communication skills with the ability to explain technical concepts clearly and collaborate effectively across teams.
      • Professional proficiency in English, both written and verbal, is required.
      • Advanced academic background in Data Science, Machine Learning, Natural Language Processing, Information Retrieval, or related fields is considered a strong advantage.
      • Benefits

        • Competitive compensation package and profit-sharing program.
        • Remote-first work model with flexibility to work from anywhere in Brazil, along with access to offices and coworking spaces when desired.
        • Comprehensive health and dental insurance coverage.
        • Life insurance and employee assistance programs covering mental health, social, legal, and financial support.
        • Meal allowance and home office stipend.
        • Extended parental leave and family-focused benefits, including childcare and atypical parenthood support.
        • Wellness initiatives, including access to fitness and well-being programs.
        • Additional paid days off, including birthday leave and special family-related leave days.
        • Educational discounts, professional development support, and exclusive employee discount programs.
        • Inclusive, collaborative, and high-performance environment with opportunities to work alongside top technology professionals.
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

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