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Data Taxonomy Jobs in Delaware (NOW HIRING)

Agilent

Digital Information Architect

Wilmington, DE · On-site +1

$119K - $223K/yr

Content & Data Governance * Establish governance models for metadata quality, controlled vocabulary ... taxonomy design or equivalent. * Strong understanding of metadata modeling, ontology design, and ...

Agilent

Digital Information Architect

Wilmington, DE · On-site

$119K - $223K/yr

Content & Data Governance * Establish governance models for metadata quality, controlled vocabulary ... taxonomy design or equivalent. * Strong understanding of metadata modeling, ontology design, and ...

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All JobsData Taxonomy JobsData Taxonomy Jobs in Delaware

Data Taxonomy information

What does a data taxonomy specialist do?

A data taxonomy specialist develops and maintains structured classifications of data within an organization to improve data organization, searchability, and governance. They analyze data assets, create standardized naming conventions, and often use tools like metadata management systems to ensure consistent data categorization across systems.

What are some typical challenges faced when developing and maintaining a data taxonomy within an organization?

One common challenge when working in data taxonomy is ensuring consistency across different departments that may use varied terminology or classification standards. Data taxonomists often need to facilitate collaboration between stakeholders to agree on definitions and structures, which requires strong communication and negotiation skills. Another challenge is keeping the taxonomy up-to-date as business needs and data sources evolve, necessitating regular reviews and updates. Successfully navigating these issues helps improve data discoverability, governance, and overall business intelligence.

What is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.

What is data taxonomy?

Data taxonomy is a structured classification system that organizes data into categories and subcategories, enabling easier data management, retrieval, and analysis. Data professionals often use standards, metadata, and tools like data modeling to develop and maintain effective taxonomies.

What is the difference between Data Taxonomy vs Data Analyst?

AspectData TaxonomyData Analyst
Primary FocusOrganizing and classifying data structuresAnalyzing data to extract insights
Skills & CertificationsData modeling, taxonomy development, data management certificationsStatistical analysis, SQL, data visualization skills
Work EnvironmentData management teams, data governance departmentsBusiness units, analytics teams
Industry UsageData governance, information architectureBusiness intelligence, reporting

Data Taxonomy involves creating structured classifications for data assets, ensuring consistency and clarity across systems. Data Analysts focus on interpreting data to support decision-making. While both roles work with data, Data Taxonomy emphasizes data organization, whereas Data Analysts analyze data for insights.

How to become a data taxonomy?

To become a data taxonomy specialist, develop skills in data management, classification, and metadata standards, often through degrees in information science, computer science, or related fields. Gaining experience with data modeling tools, taxonomy development, and industry standards like Dublin Core or SKOS can enhance qualifications; certifications in data management or taxonomy design are also beneficial.

What are the key skills and qualifications needed to thrive as a Data Taxonomist, and why are they important?

To thrive as a Data Taxonomist, you need a strong background in information science, data organization, and metadata management, often supported by a degree in library science, information systems, or a related field. Familiarity with taxonomy management tools, data modeling software, and standards such as SKOS or RDF is commonly required. Attention to detail, analytical thinking, and effective communication are essential soft skills for collaborating across teams and ensuring data consistency. These skills and qualifications are crucial for creating structured data frameworks that improve data discoverability, usability, and governance.
What are popular job titles related to Data Taxonomy jobs in Delaware? For Data Taxonomy jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Taxonomy jobs in Delaware look for? The top searched job categories for Data Taxonomy jobs in Delaware are:
What cities in Delaware are hiring for Data Taxonomy jobs? Cities in Delaware with the most Data Taxonomy job openings:
Data Taxonomy jobs near you
Infographic showing various Data Taxonomy job openings in Delaware as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Scientist - Pharma Onsite

Data Scientist - Pharma Onsite

Vega Consulting Solutions

Wilmington, DE

Other

Posted 7 days ago

Job description

Hiring! Data Scientist with a strong Manufacturing background for our direct client located in Wilmington, Delaware. This is an onsite job requirement. Seeking Candidates that will work on a W2 basis for 12 month + contract.

  • Collaborate with stakeholders to identify the business requirements and the expected outcome;
  • Identify and select relevant and credible data sources, and provide technical instructions to data analysts to collect, integrate and mine data;
  • Identify and analyze patterns. Design experiments, test hypotheses, and build models;
  • Conducts advanced data analysis and complex algorithm to help stakeholders to discover and quantify leading information.
  • Resolve stakeholders problems through analytics and communicate results and methodologies through an iterative collaboration process.
  • Partner with stakeholders to ensure the expected qualification and assurance of the information.
  • Design and lead implementation of analytics pipelines and visualization by collaborating with other data/informatics teams.
  • Scout, test and recommend new analytics algorithms and models to the data analytics.
  • Educate the organization on new analytical approaches to drive acceleration of business decision.
  • Collaborate with other data scientists to develop the strategy of the data analytics competency and prioritize development needs.
  •  

Skill Requirements

  • Advanced degree in chemical engineering and/or chemistry & materials science.
  • More than 2 years of data analytics experience in manufacturing, operation, and chemical/mechanical processing data.
  • Expertise in first principal modeling (kinetics, thermodynamic, physical models)
  • Expertise in data analytics software and tools: Python, R, Spark, Json.
  • Expertise in Machine Learning and Deep Learning, e.g. classification, regression, clustering, feature engineering, neural network.
  • Expertise in Statistics, e.g. time series, regression models, principal component analysis, multi-variance analysis.
  • Strong business acumen with the ability to translate business problems to data analytics requirements and design data models and analytics pipelines to resolve the problems.
  • Excellent communication and customer-facing skills with the ability to explain technical approaches and rationale of findings in easy-to-understand terms for the business.
  • Experience using deep learning and machine learning on manufacturing processing and/or IoT event detection will be preferred.
  • Expertise in Text Data Analysis: semantic analysis, natural language processing, taxonomy.
  • Proficiency in data architect and data modeling using relational databases or graph databases.
  • Development/Analytics Platform: Posit Connect, Azure DataLake, Databricks, AspenTech, IP21, TrakSYS
  • Other software tools: NoteJS, web service and visualization tools (e.g., PowerBI)
  • Familiar with Cloud DevOps and software engineering methodology.

Select Apply Now and a Vega Staffing Specialist will reach out to you.

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