Data Scientist

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

Benefits

• Equity in a fast-growing startup
• Competitive benefits package tailored to your location
• Flexible time off policy
• Parental Leave