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 history of innovation and a commitment to sustainability, UPS connects millions of customers worldwide, delivering what matters. We are driven by a purpose-driven culture and a commitment to innovation, leveraging data and technology to create a smarter, more efficient global network.
Job Description
We are seeking a highly analytical and detail-oriented UPS Metadata Analyst with a strong focus on Machine Learning to join our innovative team. This 100% remote position plays a crucial role in optimizing our vast datasets, ensuring accuracy, consistency, and usability for advanced analytics and machine learning models. You will be instrumental in defining metadata standards, implementing governance policies, and collaborating with data scientists and engineers to enhance data quality and enable cutting-edge predictive capabilities across our global operations. If you have a passion for data, a keen eye for detail, and expertise in leveraging metadata for ML applications, we encourage you to apply.
Key Responsibilities
- Develop and implement metadata management strategies and governance frameworks tailored for machine learning initiatives.
- Analyze, profile, and catalog metadata for diverse data sources across UPS systems.
- Collaborate with data scientists, ML engineers, and business stakeholders to understand data requirements and improve data usability for model training and deployment.
- Ensure metadata accuracy, consistency, and completeness to support high-quality data products and ML model performance.
- Identify and resolve metadata-related data quality issues, working closely with data owners and technical teams.
- Design and maintain metadata repositories, ensuring proper documentation and accessibility.
- Provide expert guidance on metadata best practices, tools, and technologies, particularly those relevant to ML pipelines.
- Stay current with industry trends in metadata management, data governance, and machine learning.
Required Skills
- Strong understanding of metadata management principles and practices.
- Proficiency in SQL and experience with large relational and NoSQL databases.
- Demonstrated experience with machine learning concepts, data preprocessing, and feature engineering.
- Familiarity with data governance frameworks and data quality tools.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a remote team environment.
- Bachelor's degree in Computer Science, Data Science, Information Systems, or a related quantitative field.
Preferred Qualifications
- Master's degree in a relevant field.
- Experience with cloud-based data platforms (e.g., Azure, AWS, GCP).
- Familiarity with data cataloging tools (e.g., Collibra, Informatica EDC).
- Experience with scripting languages like Python for data manipulation and automation.
- Understanding of logistics or supply chain industry data.
Perks & Benefits
- Comprehensive health, dental, and vision insurance.
- 401(k) retirement plan with company match.
- Paid time off and holidays.
- Remote work flexibility and support.
- Professional development opportunities and tuition reimbursement.
- Employee assistance program.
- Access to cutting-edge technology and innovative projects.
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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