Lead Data Scientist

📋 Description

• • As the Lead Data Scientist at AirOps, you will be at the forefront of defining how brands achieve dominance in the rapidly evolving landscape of AI-driven search environments. This pivotal role demands a unique blend of profound technical expertise and strategic foresight, empowering you to architect and implement production-grade Machine Learning (ML) systems. These systems will directly influence how businesses generate and refine content specifically for AI agents, ultimately enhancing their visibility and performance across emerging discovery platforms.
• • You will operate at the critical nexus of Natural Language Processing (NLP), sophisticated search algorithms, and the transformative power of Large Language Models (LLMs). Your mission will be to engineer innovative solutions that enable content teams to achieve tangible, measurable business results, turning content quality into a sustainable competitive advantage.
• • This is a hands-on leadership position, requiring you to not only conceptualize and design complex ML architectures but also to actively contribute through coding and implementation. You will forge strong partnerships with our Product, Engineering, and Customer Success teams, proactively identifying opportunities where ML can revolutionize our platform's capabilities and deliver unparalleled value to our clients.
• • Your contributions will have a direct and significant impact on how thousands of brands navigate and succeed in a search ecosystem increasingly shaped by AI, influencing how content is discovered, engaged with, and ultimately ranked.
• • **Key Responsibilities and Impact:**
• • **Technical Leadership & System Design:** Spearhead the design, development, and deployment of end-to-end ML systems. This includes, but is not limited to, advanced NLP models for content understanding and generation, intelligent search and recommendation algorithms to surface relevant content, and cutting-edge LLM-based applications for enhanced content creation and analysis. You will be responsible for ensuring these systems are robust, scalable, and performant in a production environment.
• • **Search & Content Intelligence:** Develop sophisticated ML systems capable of analyzing complex AI search behaviors. You will identify high-impact content opportunities by understanding user intent and AI ranking signals. Furthermore, you will build predictive models to forecast content performance across various AI-driven platforms, enabling proactive optimization strategies for our clients.
• • **Algorithm Development for AI Discovery:** Create novel algorithms that provide deep insights into how AI agents discover, interpret, and rank content. This involves understanding the nuances of AI content consumption and developing strategies for brands to align their content with these emerging paradigms.
• • **Cross-functional Collaboration & Strategy:** Work closely with Product Managers to translate intricate business requirements into actionable technical roadmaps and ML-driven solutions. You will act as a key technical advisor, ensuring that our ML initiatives are tightly aligned with the company's strategic objectives and customer needs.
• • **Productionization & Optimization:** Drive the entire lifecycle of ML models, from initial research and experimentation through to robust production deployment. This includes a strong focus on optimizing models for low latency, cost-efficiency at scale, and continuous monitoring to ensure sustained performance and reliability.
• • **Mentorship & Best Practices:** As a lead, you will influence architectural decisions, champion best practices in ML development and MLOps within the team, and drive the successful execution of cross-functional projects, often without direct managerial authority. You will foster a culture of continuous learning and innovation.
• • **Communication & Alignment:** Articulate complex technical concepts and the value of ML initiatives clearly and concisely to both technical and non-technical stakeholders. This ensures buy-in, facilitates effective collaboration, and aligns ML efforts with overarching business goals and customer success.
• • **Driving Measurable Business Outcomes:** Your primary focus will be on delivering ML solutions that demonstrably improve key business metrics for our customers, such as content engagement, search rankings, lead generation, and ultimately, revenue growth. You will be instrumental in proving the ROI of AI-driven content strategies.
• • **Innovation in AI Content Engineering:** Contribute to the innovation roadmap by exploring and integrating emerging ML techniques and technologies relevant to content engineering and AI discovery, ensuring AirOps remains at the cutting edge of the industry.