Data Scientist

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Castillians

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2006

Castillians is a company whose publicly available text is inaccessible without JavaScript; the provided content only shows a message asking the user to enable JavaScript. No information about the company's product, services, industry, or target customers can be determined from this text alone.

📋 Description

• 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

• 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

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