About the Company
United Parcel Service (UPS) is a global leader in logistics, offering a broad range of solutions including the transportation of packages and freight, the facilitation of international trade, and the deployment of advanced technology to manage the world of business more efficiently. With a commitment to innovation and sustainability, UPS leverages data and cutting-edge solutions to optimize operations and serve its diverse customer base worldwide.
Job Description
As a UPS Knowledge Graph Associate with a data focus, you will be instrumental in developing, maintaining, and analyzing knowledge graphs that model UPS’s complex operational data. This 100% remote role requires a strong understanding of data structures, semantic web technologies, and data analysis to extract insights and support data-driven decision-making across various departments. You will work closely with data scientists, engineers, and business stakeholders to transform raw data into actionable knowledge representations, enhancing efficiency and innovation.
Key Responsibilities
- Design, develop, and maintain knowledge graphs using semantic web technologies (RDF, OWL, SPARQL).
- Integrate diverse datasets from various sources into a unified knowledge model.
- Perform complex data analysis on knowledge graph data to identify patterns, relationships, and anomalies.
- Collaborate with data engineers to ensure data quality, integrity, and scalability of the knowledge graph platform.
- Work with business stakeholders to understand their data needs and translate them into knowledge graph solutions.
- Develop and implement data extraction, transformation, and loading (ETL) processes for knowledge graph population.
- Create visualizations and reports to communicate insights derived from the knowledge graph.
- Stay updated with industry trends and advancements in knowledge graph technology and data science.
Required Skills
- Proficiency in data modeling, database design, and query languages (SQL, SPARQL).
- Experience with graph databases (e.g., Neo4j, Amazon Neptune, ArangoDB).
- Strong programming skills in Python for data manipulation and scripting.
- Understanding of semantic web technologies (RDF, OWL).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.
- Excellent analytical and problem-solving abilities.
- Ability to work independently and effectively in a remote environment.
Preferred Qualifications
- Master's degree in Computer Science, Data Science, Information Systems, or a related quantitative field.
- Experience with machine learning techniques applied to graph data.
- Familiarity with big data technologies (e.g., Hadoop, Spark).
- Knowledge of logistics or supply chain operations.
- Experience with data visualization tools (e.g., Tableau, Power BI).
Perks & Benefits
- Comprehensive medical, dental, and vision insurance.
- 401(k) retirement plan with company match.
- Paid time off and company holidays.
- Remote work flexibility.
- Opportunities for professional development and continuous learning.
- Employee assistance program.
- Access to cutting-edge data tools and technologies.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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