jazzhr
Director, Data Science & AI
Trusted Media Brands
Remote, USA
Full-time
Senior · 7+ years experience
Remote
Discovered 3 weeks ago
Google Cloud PlatformBigQueryVertex AIGemini Enterprise AgentsAgent EngineClaude
Free
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Google Cloud PlatformBigQueryVertex AI
Key Skills for This Role
Google Cloud PlatformBigQueryVertex AIGemini Enterprise AgentsAgent EngineClaude
Full Job Posting
- 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
- 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
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