Data Analyst

About AirOps

Today thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.

We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.

We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.

What You’ll Own

We’re hiring a Data Scientist to design and implement advanced NLP workflows that turn large-scale, unstructured data into actionable insights about brand visibility. You will work on tasks such as text processing, entity extraction, clustering, and semantic search, as well as develop the analytical models that power these capabilities. Your work will power ML-driven capabilities in the AirOps platform and give customers deeper, data-backed insights into their brand visibility across AI-driven channels.

Responsibilities

Build and maintain NLP workflows for processing unstructured text, including embeddings, entity extraction, and classification

Develop clustering, semantic search, and pattern detection methods to uncover insights in large datasets

Analyze large, multi-source datasets to identify trends, measure brand visibility, and surface actionable insights for customers

Evaluate and refine NLP techniques using quantitative metrics and real-world performance data

Ensure data quality through preprocessing, feature engineering, and rigorous validation

Collaborate with data engineers to integrate NLP and analytical solutions into production pipelines

Partner with product and engineering teams to translate business needs into scalable, data-driven solutions

Monitor and iterate on performance of deployed solutions to ensure ongoing accuracy and relevance

Your Experience

4+ years of experience in data science, applied NLP, or analytics, ideally in AI, SaaS, or data-intensive products

Strong fluency in Python and SQL, with experience manipulating and analyzing large datasets

Hands-on experience with NLP libraries and frameworks such as Hugging Face, spaCy, or LangChain, and familiarity with LLM-based workflows

Proven ability to extract insights from complex, multi-source datasets and communicate findings clearly to both technical and non-technical audiences

Understanding of clustering, semantic search, and related ML techniques

Experience with data warehouses and OLAP databases (e.g., Redshift, Snowflake, BigQuery, ClickHouse)

Familiarity with data preprocessing, feature engineering, and validation techniques to ensure data quality

Comfort operating in fast-paced, ambiguous environments where you ship quickly and iterate

Our Guiding Principles

Extreme Ownership

Quality

Curiosity and Play

Make Our Customers Heroes

Respectful Candor

Benefits

Equity in a fast-growing startup

Competitive benefits package tailored to your location

Flexible time off policy

Generous parental leave

A fun-loving and (just a bit) nerdy team that loves to move fast!