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Full Time Data Taxonomist Jobs (NOW HIRING)

Diaconia

Data Architect

Springfield, VA · On-site

$125K - $145K/yr

Job Type Full-time Description Diaconia is seeking an Information/Data Architect to support a ... Experience with metadata management, taxonomy development, and enterprise data catalogs.

Datavault AI Inc.

Data Scientist

Atlanta, GA · On-site

Atlanta, GA Hybrid Employment Type: Full-Time About Us: Datavault AI, along with its event ... taxonomy refinement, classification accuracy uplift. * Evaluate prompt strategies, tool-use ...

Growve

Data Management Director

Nashville, TN · On-site

Own and continuously enhance the Salsify PIM environment, including product taxonomy, attributes ... Additional Details: * Full Time with Competitive Pay * Health Benefits Package * DTO * 401(k)

Wayve

Senior Data Scientist

Sunnyvale, CA · On-site

$209K - $298K/yr

Build and maintain a taxonomy of behavioral competencies (e.g., merging, yielding, unprotected ... This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary ...

Wayve

Senior Data Scientist

Sunnyvale, CA · Hybrid

$209K - $298K/yr

Build and maintain a taxonomy of behavioral competencies (e.g., merging, yielding, unprotected ... This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary ...

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How much do full time data taxonomist jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for full time data taxonomist in the United States is $56.86, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $64.18 per hour, depending on experience, location, and employer.

What is a full time data taxonomist?

Full Time Data Taxonomists are professionals who organize, classify, and manage data within an organization using taxonomies and metadata standards. They help ensure that data is consistently labeled, easily searchable, and accessible for analysis or operational use. Their work supports data governance, enhances data quality, and streamlines information retrieval across various platforms. Typically, they collaborate with data engineers, analysts, and business stakeholders to design data structures that align with organizational needs.

What are the key skills and qualifications needed to thrive as a full time data taxonomist?

To thrive as a Full Time Data Taxonomist, you need a solid background in information science, data management, and taxonomy design, often supported by a degree in library science, information science, or a related field. Familiarity with metadata standards, data modeling tools, and content management systems like DAM or PIM platforms is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with stakeholders and structure complex data environments. These skills ensure data is organized, accessible, and actionable, driving efficient data discovery and decision-making within organizations.

What are some common challenges full time data taxonomists face when standardizing large datasets across departments?

One of the main challenges Full Time Data Taxonomists encounter is ensuring consistency and clarity in data classification across diverse departments, each with their own terminologies and data standards. Aligning stakeholders and managing changes in taxonomy can be complex, especially in organizations with legacy systems or varied data sources. Effective communication skills and a strong understanding of both technical and business contexts are crucial for navigating these challenges and implementing a taxonomy that supports data usability and governance.

What is the difference between Full Time Data Taxonomist vs Data Analyst?

AspectFull Time Data TaxonomistData Analyst
Required CredentialsBachelor's in Information Science, Library Science, or related field; knowledge of taxonomy toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentCollaborates with data teams, content managers, and IT departmentsWorks with business units, management, and data teams to interpret data
Industry UsageCommon in tech, e-commerce, and content-heavy industriesWidely used across finance, marketing, and healthcare sectors

While both roles involve working with data, a Full Time Data Taxonomist specializes in organizing and classifying data through taxonomies, whereas a Data Analyst focuses on interpreting data to generate insights. The taxonomist's role is more about data structure and metadata, while the analyst emphasizes data interpretation and reporting.

How do you become a full time data taxonomist?

To become a full-time data taxonomist, candidates typically need a bachelor's degree in information science, library science, or a related field, along with experience in data management and classification. Skills in data modeling, taxonomy development, and tools like Excel or specialized taxonomy software are important, and certifications such as Certified Data Management Professional (CDMP) can enhance prospects.

What cities are hiring for Full Time Data Taxonomist jobs?

Cities with the most Full Time Data Taxonomist job openings:

What are the most commonly searched types of Data Taxonomist jobs?

The most popular types of Data Taxonomist jobs are:

What states have the most Full Time Data Taxonomist jobs?

States with the most job openings for Full Time Data Taxonomist jobs include:

Full Time Data Taxonomist jobs near you

Local Intent Data Mining Specialist

NewsBreak

Mountain View, CA • On-site

$112K - $293K/yr

Full-time

Re-posted 3 days ago

Job description

About NewsBreak
Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.
Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit www.newsbreak.com/about
About the role
You will build the systems that understand what local consumers actually want - turning raw queries, behavior, and context into structured intent. This means query understanding, user-intent classification, semantic search, and the intent taxonomies and interest graphs that power discovery across local categories. You will bring LLMs into production, not the lab, to make local search and recommendations genuinely understand consumer intent.
What you'll do
  • Build query-understanding, user-intent classification, and semantic-search models for local consumer demand.
  • Design and grow intent taxonomies and interest graphs over local categories and merchants.
  • Ship LLM-powered features into production for search and recommendations at consumer scale.
  • Work with embeddings, retrieval, and NLU to connect messy consumer language to local supply.
  • Define metrics and run experiments that tie intent quality to downstream conversion.
What we're looking for
  • 5+ years as an Applied Scientist or ML Engineer on query understanding, intent, semantic search, or NLU.
  • Production experience shipping models that serve real users - not purely offline or research work.
  • Hands-on with embeddings, semantic search, intent classification, taxonomy, or interest-graph construction.
  • Experience bringing LLMs into production systems.
  • Comfort working at consumer-internet data scale.
Nice to have
  • Background at Google Search / Ads quality, Meta, TikTok, Pinterest, DoorDash, Instacart, Amazon Search/Alexa, or Apple.
  • Built a user-intent taxonomy or interest graph at a consumer internet company.
  • Consumer-intent or personalization work specifically at a local platform (DoorDash, Instacart).

The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.
Annual Base Pay Range
$112,000-$293,000 USD
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