Director, Data Science – AI

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TMB (Trusted Media Brands)

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

🍽️ Food & Beverage

📣 Marketing

✈️ Travel

Food & Beverage • Marketing • Travel

TMB (Trusted Media Brands) is the world’s leading community-driven entertainment company, powered by stories that are inspired and created by its fans. Authentic to its core, TMB spotlights amazing people and moments to fuel the passions and pastimes of more than 200 million consumers worldwide. The company operates some of the most well-known and much-loved media brands, spanning a wide range of verticals, from home and garden to food and nature. TMB demonstrates the influence and power of community-driven content in bringing people together through dynamic and versatile storytelling across video, digital, and print channels. Its content is trusted, inspirational, and timeless, aiming to unify and connect audiences globally.

📋 Description

• Own the data science roadmap for the organization from core statistical modeling and experimentation forecasting, segmentation and applied AI where it adds real business value. • Lead, mentor, and stay hands-on with a small team of data scientists: writing code and reviewing methodology, not just roadmaps. • Oversee the design of robust, production-grade solutions utilizing core cloud systems, vector databases, and agentic workflows. • Champion the adoption and continuous improvement of AI development tools across technical teams. • Scale MLOps/LLMOPs practices, ensuring data observability, governance, model safety, and ethical AI compliance. • Collaborate cross-functionally with Business Intelligence, Data Engineering, Analytics Engineering, Development, and Product teams to drive technical innovation, prioritize initiatives, ship MVPs fast and iterate based on usage data. • Design and run rigorous experiments to validate hypotheses and guide business decisions. • Translate statistical and technical work into business language for executive stakeholders and make the case for where data science investment should go next. • Define success metrics for internal tools and AI initiatives, and track adoption, usage, and business impact over time. • Document tools, workflows, and best practices to scale impact beyond individual engagements. • Stay informed on industry trends, viral content, and emerging platforms to identify new opportunities.

🎯 Requirements

• 7+ years in data science, including leading or managing a technical team. • Strong foundation in core data science. • Deep, hands-on fluency in Google Cloud Platform: BigQuery, Vertex AI, and building/deploying production models in a GCP environment. • Proficiency deploying custom Gemini Enterprise Agents via Agent Engine. • Fluency in AI tools such as Claude, CoPilot and ChatGPT. • Strong Python and SQL skills and experience in applied AI. • A bias for action.

🏖️ Benefits

• We value our people and offer a collaborative and engaging culture. • Work/life balance. • Generous time off. • Comprehensive benefits and programs.