Posted today · be early

Director, Data Science & AI

Trusted Media Brands

IndiaremotePosted 1 day ago

Skill Required

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Key highlights

Requires 7+ years of data science experience, including technical team leadership/management
Must have deep hands-on fluency with Google Cloud Platform (BigQuery, Vertex AI, production model deployment in GCP)
Proficiency deploying custom Gemini Enterprise Agents via Agent Engine is required
Benefits include comprehensive time off, health/wellness coverage, mental health reimbursement, and home office reimbursement
Role owns the end-to-end organizational data science roadmap spanning statistical modeling, forecasting, segmentation, and applied AI
Role requires leading and mentoring a small data science team while remaining hands-on with code and methodology review

Role overview

This is a senior leadership data science role responsible for owning the full organizational data science roadmap, including core statistical modeling, experimentation, forecasting, segmentation, and applied AI initiatives that deliver tangible business value. The role involves leading and mentoring a small team of data scientists while remaining actively hands-on with technical work including code writing and methodology review, and collaborating cross-functionally with Business Intelligence, Data Engineering, Analytics Engineering, Development, and Product teams to drive technical innovation, prioritize initiatives, ship MVPs quickly, and translate technical insights for executive stakeholders to guide data science investment decisions.

Responsibilities

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

Comprehensive Time Off policies
Maternity and Paternity Time off
Health Insurance & Wellness Benefits including access to OPD consultations*, Gym/Yoga studios, Teleconsultation/Telemedicine*
Access to Mental Health Reimbursement
Annual Sport Reimbursement and Home Office Reimbursement
Office with in-house kitchenette