Senior Applied Scientist

Senior Applied Scientist (Remote – Brazil)Employment Type:Full-TimeWork Location:Remote (Brazil) – São PauloDuration:Open-EndedJob OverviewWe are seeking a highly skilledSenior Applied Scientistto lead the development and deployment of advanced Machine Learning solutions. In this role, you will influence the technical direction of the team, collaborate closely with Product and Engineering partners, and drive innovation across data-driven initiatives.This is an excellent opportunity for someone who combines strong technical expertise with leadership capabilities and a passion for building high-impact solutions.ResponsibilitiesLead end-to-end development and deployment of Machine Learning models to solve complex business problems.Write and maintain clean, efficient, scalable code following industry best practices.Analyze large-scale datasets to extract insights and support data-informed decision-making.Apply state-of-the-art ML methodologies, including deep learning and modern frameworks, to build robust models.Take ownership of key system components and influence the broader technical strategy.Collaborate with cross-functional stakeholders to design deployable, production-ready ML solutions.Mentor junior scientists and engineers, fostering team expertise and growth.Contribute to organizational technical leadership through patent filings and publications in top-tier venues.Minimum Requirements5+ yearsof industry experience in applied Machine Learning.Master's degree or PhDin Computer Science, Machine Learning, Statistics, Operations Research, or a related field.3+ yearsof experience building, deploying, and managing ML and deep learning models in production at scale.Deep understanding of ML best practices (A/B testing, pipelines, feature engineering, experiment design).Strong knowledge of algorithms and techniques such as gradient boosting, deep neural networks, transformers, and optimization methods.Experience inComputer Vision; experience inCausal Inferenceis highly desirable.Expertise with Python scientific libraries (NumPy, pandas, Polars) and ML frameworks (PyTorch, TensorFlow, Keras, Scikit-Learn).Strong data engineering skills and comfort working with large-scale datasets.Experience with big data tools (Apache Beam, Kafka, Spark).Experience with cloud platforms: AWS, GCP, or Azure.Fluency inPythonandSQL.Preferred QualificationsPhDin CS, ML, AI, Statistics, OR, or related fields.Experience applying ML to real-worldretail industryproblems.Familiarity with modernMLOps tools and pipelines.Impact-driven mindset and commitment to delivering high-quality models.Demonstrated leadership capabilities with experience guiding or managing technical teams.