
Data Scientist
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Ireland.
• Design, develop, and implement machine learning and data science solutions utilizing Python.
• Create and maintain reusable Python libraries and analytical frameworks.
• Develop machine learning models, data visualization tools, and analytical dashboards.
• Build and deploy APIs and cloud-based applications.
• Establish and manage CI/CD pipelines for machine learning workflows.
• Deploy, monitor, and enhance machine learning models on Microsoft Azure.
• Collaborate with business stakeholders to convert business needs into technical solutions.
• Maintain technical documentation and adhere to software engineering best practices.
• Keep abreast of emerging technologies and industry trends pertinent to the role.
• Over 5 years of experience in Data Science and Python development.
• Proficient knowledge of Python for data science, machine learning, and AI applications.
• Extensive hands-on experience with Microsoft Azure, including Azure Machine Learning, Azure DevOps, Azure Functions, Azure Storage, or other Azure cloud services.
• Strong experience with: Python, SQL, Git, CI/CD pipelines, Machine Learning, Data Visualization, Natural Language Processing (NLP), and REST APIs.
• Experience in deploying machine learning models, APIs, and dashboards in cloud environments.
• Familiarity with Docker, Kubernetes, MLflow, DVC, Feature Stores, and model monitoring is highly desirable.
• Experience with Spark, NoSQL databases, software development, API development, or data architecture is a plus.
• Excellent analytical, communication, and problem-solving abilities.
• Nice to have: Microsoft Certified: Azure Data Scientist Associate.
• Experience with TensorFlow or PyTorch.
• Background in clinical or statistical programming.
• Clear scope with no ambiguity regarding deliverables.
• Opportunity for repeat engagements based on performance.
AppOmni
Global Language System
Swish Analytics
Reddit, Inc.
Get handpicked remote jobs straight to your inbox weekly.