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AirOps

Data Analyst

AirOps, New York, New York, us, 10261

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AirOps 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. 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.

Were 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.

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

What Youll Own

Were 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! Seniority level

Seniority level

Mid-Senior level Employment type

Employment type

Full-time Job function

Job function

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