Data Scientist

Castillians

Senior Data Scientist (Python) delivering advanced data science and machine learning solutions for global engineering network. Collaborating with cross-functional teams to build scalable data pipelines and deploy cloud-native solutions.

Posted 7/9/2026contractRemote • 🇮🇪 IrelandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying machine learning solutions using Python and Microsoft Azure, with a strong focus on building reusable libraries, APIs, and analytical frameworks. Proficient in implementing CI/CD pipelines and maintaining technical documentation while collaborating with stakeholders to deliver data-driven solutions.

Highest-signal resume keywords

Python DevelopmentMicrosoft AzureMachine LearningData VisualizationCI/CD Pipelines

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Applicant Tracking System Keywords

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Hard Skills

PythonMachine LearningData ScienceSQLREST APIsNatural Language ProcessingDockerKubernetesTensorFlowPyTorch

Soft Skills

Analytical SkillsCommunication SkillsProblem-Solving Skills

Tools & Technologies

Azure Machine LearningAzure DevOpsAzure FunctionsAzure StorageMLflowDVCFeature Stores

Certifications & Qualifications

Microsoft Certified: Azure Data Scientist Associate

Industry Keywords

Data ArchitectureCloud EnvironmentsStatistical ProgrammingNoSQL DatabasesAPIs

Tech Stack

Tools & technologies

AzureCloudDockerKubernetesNoSQLPythonPyTorchSparkSQLTensorflow

About the role

Key responsibilities & impact

Design, develop, and deploy machine learning and data science solutions using Python.
Build and maintain reusable Python libraries and analytical frameworks.
Develop machine learning models, data visualization solutions, and analytical dashboards.
Build and deploy APIs and cloud-based applications.
Implement and maintain CI/CD pipelines for machine learning workflows.
Deploy, monitor, and optimize machine learning models on Microsoft Azure.
Collaborate with business stakeholders to translate business requirements into technical solutions.
Maintain technical documentation and follow software engineering best practices.
Stay up to date with emerging technologies and industry trends relevant to the role.

Requirements

What you’ll need

5+ years of experience in Data Science and Python development.
Expert knowledge of Python for data science, machine learning, and AI solutions.
Strong 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) REST APIs.
Experience deploying machine learning models, APIs, and dashboards in cloud environments.
Experience 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 an advantage.
Strong analytical, communication, and problem-solving skills.
Nice to Have Microsoft Certified: Azure Data Scientist Associate.
Experience with TensorFlow or PyTorch.
Clinical or statistical programming experience.

Benefits

Comp & perks

Clear scope with no ambiguity over deliverables.
Opportunity for repeat engagements based on performance.