AirOps

Engineering

DataScientist

New York, New York, United States; San Francisco, California, United States FULL TIME
The Brief

“Data Scientist at AirOps. Skills: machine learning, NLP, search algorithms, large language models. Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications. Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance across different AI-driven platforms”

What You'll Achieve.

directly impact how companies create and optimize content for AI agents and improve their search visibility; drive measurable business results; align ML initiatives with business outcomes

Industry & Context.

Engineering
Problems you'll solve

strategic thinking; translate business requirements into technical solutions

What They're Looking For.

Must Have

5+ years building production machine learning systems, demonstrated business background in NLP and search/recommendation systems

Nice to Have

Deep expertise across ML approaches: classical models (XGBoost, random forests), modern deep learning architectures (transformers, graph neural networks), and reinforcement learning systems, Proven ability to take models from research to production, including optimization for latency and cost at scale, Experience with ML infrastructure and tooling: model serving frameworks, experiment tracking, feature stores, and monitoring systems, Track record of technical leadership: influencing architecture decisions, improving team practices, and driving cross-functional projects without direct authority

What You'll Do.

Design and deploy end-to-end machine learning systems including NLP models

search and recommendation algorithms

and LLM-based applications

Build ML systems that analyze AI search behavior

identify content opportunities

and predict performance across different AI-driven platforms

Create algorithms that help brands understand and optimize for how AI agents discover and rank content

How You'll Work.

Team & Collaboration

partner with product, engineering, and customer success teams; Collaborate with product managers; driving cross-functional projects without direct authority

Communication Scope

Excellent communication skills; ability to explain complex technical concepts to non-technical stakeholders; align ML initiatives with business outcomes

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