Data Scientist

Posted May 11, 2026

Key Responsibilities

Technical Leadership: Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications. Search and Content Intelligence: 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. Cross-functional Partnership: Collaborate with product managers to translate business requirements into technical solutions. ## Qualifications

5+ years building production machine learning systems with demonstrated business impact; strong background in NLP and search/recommendation systems required
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
Excellent communication skills with ability to explain complex technical concepts to non-technical stakeholders and align ML initiatives with business outcomes