Director - Data Science

Role & responsibilities:

• Strategy & Roadmap:

  Build and define Brainlabs global Data Science capability roadmap, focused on advanced media optimisation and marketing effectiveness

• Product Development

  : Work through all stages of product development: defining capability, crafting business solutions, gathering/structuring data, building ML/DL/AI models, and communicating business impact.

• Innovation

  : Research and bring innovations to develop next-generation solutions in marketing & media analytics, incorporating advancements like GPT, LLMs, Agentic AI and multimodal data pipelines

• Team Leadership:

  Grow and mentor a high-performing data science team, driving thought leadership, R&D culture, and global collaboration.

• Pre-sales Support:

  Estimate project efforts, creating detailed proposals, and developing Statements of Work (SOWs). respond to Requests for Proposals (RFPs) with innovative, tailored analytics solutions.

• Client/Stakeholder Communication:

  Engage with diverse stakeholders, including clients, team members, and management.

• Organizational Initiatives:

  Lead key organizational initiatives focused on enhancing operational efficiency, service quality, and employee engagement.

• Analysis:

  Ability to analyze data and prescribe model-based recommendations/actions for the end users.

• Process Management:

  Manage projects in an Agile environment.

Preferred candidate profile:

• Experienced:

  A visionary leader with 12-15 years in Data Science projects, 4+ years in Marketing Analytics

• Educated

  : Bachelors/Masters degree in relevant field (Math, Statistics, Analytics, Operational Research or related disciplines)

• Technically Skilled:

  Experience building ML/DL/NLP/AI models (Python, R, Scala). Experienced with frameworks like TensorFlow, PyTorch, YOLO as well as marketing specific models like Meridian, Robyn and PyMC

• LLM & AI Specialist:

  Deep understanding of Agentic AI frameworks (AutoGPT, BabyAGI, OpenAgents) and LLMs (GPT, Claude, Gemini, LLaMA)

• Cloud & MLOps Fluent:

  Familiar with MLOps, ML safety and building scalable architectures on AWS, GCP, Azure, or Nvidia stack