Azumo is currently looking for a highly motivated Data Scientist to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America.This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics. If you have a passion for designing and implementing advanced machine learning and deep learning models, this role is perfect for you. We are seeking a skilled Data Scientist with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and experience working with PyTorch.Your responsibilities will include developing and deploying supervised and unsupervised anomaly detection algorithms, utilizing libraries such as pandas, numpy, and scikit-learn. Familiarity with agile methodologies, scrum ceremonies, and JIRA is a plus, along with a strong foundation in descriptive statistics. Excellent English communication skills are essential for collaborating with cross-functional teams. Additionally, any experience with cloud platforms (AWS/GCP), big data tools like Spark, and visualization tools such as PlantUML will be highly valued in this role.At Azumo, we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and pledge to help each achieve their goals while at Azumo and beyond. Challenging ourselves and learning new technologies is at the core of what we do. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives, and sharing our knowledge.If you are qualified for the opportunity and looking for a challenge please apply online at Azumo Careers or connect with us at people@azumo.co.RequirementsThe Data Scientist will be based remotely. Compensation commensurate with experience and candidate potential.Basic Qualifications:Degree or master's in computer science, data science, or a related field5+ years of experience in Python for production projectsProficiency in machine learning and deep learning techniques (e.g., CNNs, Transformers)Experience with PyTorchExpertise in supervised and unsupervised anomaly detectionMastery of pandas, numpy, and scikit-learnAgile methodologies, scrum ceremonies, and JIRA experienceFoundation in descriptive statisticsExcellent English communication skillsPreferred Qualifications:Familiarity with PlantUML or equivalent documentation toolsExperience with cloud platforms (AWS/GCP)Experience with big data tools like SparkExperience working with LLM ModelsBenefitsPaid time off (PTO)U.S. HolidaysTrainingUdemy free Premium accessMentored career developmentFree English CoursesProfit Sharing$US RemunerationSeniority LevelMid-Senior levelEmployment TypeFull-timeJob FunctionEngineering and Information TechnologyIndustriesIT Services and IT Consulting
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