Data Scientist

AdgOptz; Costa Mesa (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

AdgOptz is seeking a data-driven NLP engineer to advance our search-term intelligence platform. You will build and evaluate NLP, NER, and classification models that help advertisers understand and optimize queries at scale.

Collaborating with SEM, data, and engineering teams, you will design robust evaluation sets, analyze query patterns, and translate model tradeoffs into practical guidance for product workflows and marketing stakeholders.

Qualifications

• Experience with applied NLP, classification, embeddings, clustering or recommendation systems.
• Strong SQL and Python skills for analysis and model evaluation.
• Ability to explain model tradeoffs to technical and marketing audiences.
• Paid-search, ad-tech, or growth analytics experience is a plus.

Responsibilities

• Develop and evaluate NLP, NER, clustering, and intent-classification systems for search-term analysis.
• Design evaluation sets and quality metrics linking model behavior to paid-search outcomes.
• Analyze query patterns, negative keywords, match-type behavior, and optimization signals.
• Collaborate with engineering to deploy models into product workflows.

Skills

Applied NLP

Classification

Embeddings

Clustering

Entity extraction

SQL

Python

Explain tradeoffs

Paid-search analytics

Job description

Improve the NLP and intent-classification systems that help advertisers understand search queries at scale.

Role impact

This role improves the intelligence layer that helps AdgOptz separate useful search demand from waste.

What you will do

• Develop and evaluate NLP, NER, clustering, and intent-classification systems for search-term analysis.
• Design evaluation sets and quality metrics that connect model behavior to paid-search outcomes.
• Analyze query patterns, negative keyword decisions, match-type behavior, and account-level optimization signals.
• Work with engineering to move useful models and heuristics into repeatable product workflows.

What we are looking for

• Experience with applied NLP, classification, embeddings, clustering, entity extraction, or recommendation systems.
• Strong SQL and Python skills for analysis, model evaluation, and production-adjacent data work.
• Ability to explain model tradeoffs clearly to both technical and marketing stakeholders.
• Paid-search, ad-tech, or growth analytics experience is a strong plus.

Working style

AdgOptz values clear thinking, practical execution, security-aware engineering, and direct collaboration across product, SEM, data, and customer workflows.