Director, Data Science – AI

TMB (Trusted Media Brands)

Director of Data Science & AI at Trusted Media Brands overseeing data science initiatives. Leading and mentoring teams and transforming data into actionable insights while collaborating cross-functionally.

Posted 7/30/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science leadership, statistical modeling, and AI implementation, with a strong focus on cloud technologies and cross-functional collaboration to drive business value. Proficient in deploying production-grade solutions and ensuring ethical AI compliance while mentoring technical teams.

Highest-signal resume keywords

Data Science LeadershipGoogle Cloud PlatformPython ProgrammingMLOps PracticesAI Tools Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingExperimentation ForecastingApplied AISQLProduction Model Deployment

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

BigQueryVertex AIGemini Enterprise AgentsAgent EngineClaudeCoPilotChatGPT

Industry Keywords

Data ObservabilityModel SafetyEthical AI ComplianceBusiness IntelligenceAnalytics Engineering

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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