обновлено 7 часов назад
Associate Scientist, Data II (Knowledge Graph Engineering)
65 500 - 125 500$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Associate Scientist, Data II (Knowledge Graph Engineering): Designing and maintaining semantic data infrastructure that connects information across AbbVie’s domains with an accent on graph modeling, ingestion pipelines, query engineering, and data validation. Focus on building reliable knowledge graphs, resolving entities, optimizing graph performance, and supporting retrieval-augmented applications.
Location: North Chicago, Illinois, United States
Salary: USD 65,500–125,500 per year
Company
discovers and delivers medicines and solutions across therapeutic areas including immunology, oncology, neuroscience, and aesthetics.
What you will do
- Design and refine labeled-property and RDF graph models representing entities, relationships, properties, and constraints.
- Build, test, and maintain batch and incremental ingestion pipelines for relational, document, and file-based data sources.
- Write, optimize, and document Cypher queries for data loading, validation, entity resolution, and downstream retrieval.
- Implement data constraints, validation rules, entity-resolution checks, and automated tests to maintain graph quality and traceability.
- Monitor graph performance, tune indexes and queries, and support environment management across development, validation, and production.
- Collaborate with architects, product owners, program managers, analysts, infrastructure teams, service providers, and domain experts.
Requirements
- Bachelor’s degree with at least two years of experience, or a master’s degree with no additional experience required.
- Exposure to software development lifecycle practices, including Git, testing, and basic CI/CD workflows.
- Exposure to at least one graph database, such as Neo4j, Amazon Neptune, TigerGraph, or an RDF triple store, and its query language, such as Cypher or SPARQL.
- Exposure to data analysis programming languages and tools, including SQL, Python, Apache Spark, SAS, or R, for structured and unstructured data.
Nice to have
- Experience with entity resolution, record linkage, knowledge graph construction, vector databases, embeddings, retrieval-augmented generation, or graph-RAG patterns.
Culture & Benefits
- Paid time off, including vacation, holidays, and sick leave.
- Medical, dental, and vision insurance for eligible employees.
- 401(k) benefits for eligible employees.
- Eligibility for short-term incentive programs.
- Equal opportunity employment with a commitment to integrity, innovation, and community service.
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