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Data Scientist

Remote · Ireland Full-time

ECS is seeking a Data Scientist to work remotely. This role bridges data science and data architecture. The person will map data sources and relationships, build and maintain a company-wide data dictionary, and support the Enterprise Architect in applying policy, standards, and business logic to the overall data framework. Key Responsibilities - Data Mapping: Identify, trace, and document how data flows across systems — from source to destination — including transformations, dependencies, and ownership. - Data Dictionary Development: Build and maintain a comprehensive data dictionary defining every field, its meaning, format, source, and business context, so teams have one consistent reference. - Architecture Support: Work closely with the Enterprise Architect to translate data mapping and dictionary findings into the technical architecture, ensuring data models reflect real business logic and policy requirements. - Data Quality & Standards: Analyze data for consistency, accuracy, and completeness. Flag gaps or conflicts between systems and recommend standardization. - Business Logic Validation: Partner with business stakeholders (HR, Finance, Operations, etc.) to confirm that documented business rules match how data is actually defined and used. - Governance Collaboration: Support data governance efforts by aligning the data dictionary and mapping work with company policy, compliance needs, and access control requirements. - Documentation & Reporting: Create clear, maintainable documentation (data lineage diagrams, dictionary entries, mapping reports) that both technical and non-technical teams can use. Salary Range: $120,000 - $130,000 General Description of Benefits - Experience with data mapping and data lineage tools and techniques - Strong skills in building and maintaining a data dictionary or metadata repository - Solid understanding of data modeling concepts (entities, relationships, schemas) - Proficiency in SQL and at least one programming language (Python preferred) - Experience working with large, multi-source datasets (databases, APIs

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