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Taxonomy Internship Jobs in Florida (NOW HIRING)

University of Tampa

Content Strategist

Tampa, FL · On-site

... taxonomy within the CMS. • Conduct regular content audits to ensure accuracy, relevance, and ... interns supporting web content projects. Qualifications • Bachelor's degree in communications ...

University of Tampa

Content Strategist

Tampa, FL · On-site

Support consistent information architecture and taxonomy within the CMS. Conduct regular content ... May mentor student contributors or interns supporting web content projects. Qualifications Bachelor ...

All JobsTaxonomy JobsTaxonomy Internship JobsTaxonomy Internship Jobs in Florida

Taxonomy Internship information

What is a taxonomy internship?

A Taxonomy Internship is a temporary position designed to give students or recent graduates hands-on experience in organizing, categorizing, and managing information or data. Interns typically work with taxonomists or information architects to help build and maintain classification systems, such as digital libraries, product catalogs, or scientific databases. The role often involves tasks like tagging, metadata assignment, quality assurance, and researching best practices for information organization. This internship is ideal for those interested in library science, data management, or information systems.

What are the key skills and qualifications needed to thrive as a taxonomy intern?

To thrive as a Taxonomy Intern, you generally need a background in library science, information management, or a related field, with strong analytical and organizational skills. Familiarity with taxonomy management tools, metadata standards, and content management systems is often required. Attention to detail, problem-solving ability, and effective communication are important soft skills for this role. These competencies ensure accurate classification and organization of information, facilitating efficient data retrieval and supporting business or research objectives.

What types of projects can I expect to work on during a taxonomy internship?

As a Taxonomy Intern, you will often be involved in projects such as organizing and categorizing large datasets, developing controlled vocabularies, and mapping metadata across platforms. These tasks are typically collaborative, requiring you to work closely with content strategists, data analysts, and sometimes software developers to ensure information is accurately structured and easily accessible. These projects offer hands-on experience with industry-standard tools and methodologies, helping you develop skills in data management, attention to detail, and cross-functional communication—all of which are valuable for future roles in information science, data management, or digital content strategy.

What is the difference between Taxonomy Internship vs Tax Analyst Internship?

AspectTaxonomy InternshipTax Analyst Internship
Required CredentialsTypically pursuing or recent graduate in biology, environmental science, or related fieldsUsually pursuing or recent graduate in accounting, finance, or related fields
Work EnvironmentResearch labs, environmental agencies, or data management teamsAccounting firms, corporate finance departments, or tax consulting firms
Industry UsageEnvironmental, biological, or data management industriesFinance, accounting, and corporate sectors
Common Search & ComparisonYesYes

The main difference between a Taxonomy Internship and a Tax Analyst Internship lies in their focus areas. Taxonomy internships are centered around biological classification, environmental data, or information organization, often in research or environmental sectors. In contrast, Tax Analyst internships focus on financial data, tax compliance, and accounting processes within finance or corporate environments. Both roles provide valuable industry experience but cater to different academic backgrounds and career paths.

What are the most commonly searched types of Taxonomy jobs in Florida?

The most popular types of Taxonomy jobs in Florida are:

What are popular job titles related to Taxonomy Internship jobs in Florida?

For Taxonomy Internship jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Taxonomy Internship jobs in Florida look for?

The top searched job categories for Taxonomy Internship jobs in Florida are:

What cities in Florida are hiring for Taxonomy Internship jobs?

Cities in Florida with the most Taxonomy Internship job openings:

Taxonomy Internship jobs near you

Applied Data Scientist

Professional Staffing Services

Orlando, FL • Remote

Contractor

Re-posted 14 days ago

Job description

Applied Data Scientist - Contract to Hire

Location: Florida (Remote but will need to travel to Orlando for your first day, and for occasional meetings and trainings. )

Employment Type: Full-Time, Pay: ~ 100K-150K

Sponsorship: Not Available (Now or in the future)

About The Company

Our client drives innovative, datadriven insights and scalable AI solutions across the entertainment ecosystem. The Data Science team partners with data engineering, marketing, product, and executive teams to transform audience data into actionable strategies and operational products.

A successful Applied Data Scientist thrives on both analytical creativity and production rigor. As a key member of our client's team, you will own endtoend modeling and deployment work-from the conceptual framing of business problems to data ingestion, model development, and reliable production delivery. Your work will directly shape how our company delivers value to clients and internal stakeholders.

Position Summary & Location Requirements

This is a Florida-based role. While the day-to-day work offers remote flexibility, candidates must reside in the state of Florida and meet the following travel requirements:

  • Day One: Ability to travel to Orlando, FL for your first day/onboarding.
  • Ongoing: Ability to travel to Orlando on occasion for collaborative meetings, trainings, and to support business needs.

Key Responsibilities

In this role, you will bridge the gap between business strategy and technical execution. Specifically, you will:

  • Model & Solution Development: Translate ambiguous business questions into structured analytical and ML solutions. Develop, validate, and optimize models impacting forecasting, segmentation, personalization, recommendation, or operational efficiency.
  • Production & MLOps: Build productionready pipelines and deploy models into scalable environments using robust MLOps practices (CI/CD, automated testing, monitoring), ensuring long-term lifecycle maintenance.
  • Collaboration & Communication: Partner cross-functionally to bridge business requirements and technical design. Communicate insights and technical decisions clearly to both technical and nontechnical stakeholders.
  • Documentation & Standards: Document all models, pipelines, and deployment processes comprehensively to ensure maintainability, reproducibility, and knowledge sharing.
  • Innovation: Stay ahead of emerging tools, techniques, and frameworks in ML/AI to influence best practices across the organization.

Core Qualifications

  • Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Professional Experience: 5+ years of industry experience (excluding internships) in data science and machine learning, including proven ownership of model productization, monitoring, and iterative improvement.
  • Core ML Experience: 3+ years of building machine learning models for business applications (outside of academia), with deep expertise in both supervised and unsupervised learning algorithms.
  • Technical Stack:
  • Python: Strong programming skills with hands-on experience building, training, deploying, and monitoring ML models.
  • SQL: 2+ years of experience with database querying, data preparation, and analysis.
  • Data Warehousing: Working knowledge of large-scale platforms (e.g., Snowflake, SQL Server, BigQuery, Redshift).
  • Cloud Platforms: Familiarity with cloud environments (AWS, Azure, or GCP) and designing end-to-end ML pipelines from ingestion to production serving.
  • Execution Skills: Outstanding analytical skills to diagnose and resolve complex system issues, with a proven ability to manage multiple projects and prioritize tasks effectively.

What Sets You Apart (Preferred Qualifications)

  • Advanced Degree: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Domain Expertise: Industry experience in entertainment or e-commerce, including domains such as theme parks, hospitality, live performances, ticketing, or retail marketplaces.
  • Advanced ML Architectures: Hands-on experience designing and deploying recommendation models (collaborative filtering, content-based, transformer-based) or working with data labeling, taxonomy design, and classification frameworks.
  • Generative AI: Familiarity with GenAI techniques, language modeling, or frameworks like AWS Bedrock and Hugging Face.
  • Deep MLOps Tooling: Advanced experience with tools like SageMaker, Lambda, Airflow, or MLflow, and the ability to guide architectural/strategic decisions for ML infrastructure.

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