Director, Data Science
What's the role
This role leads the vision and roadmap for Data Science across the NAMER region, focusing on cutting-edge analytics and media activation.
You’ll partner with account and business leaders to drive thought leadership, win new business, and turn complex data into actionable marketing solutions.
The position owns end-to-end product and solution development, applying AI/ML, deep learning, and advanced modeling to real business challenges.
It also serves as a senior leader and mentor, guiding cross-functional teams while pushing innovation in areas like LLMs, NLP, and next-gen data technologies.
What's the company
Brainlabs is culture-first. You’ve probably heard other companies describe themselves as people, clients, or profit first – but we see people, clients and profit as the building blocks of our ecosystem. Culture powers all three and we know that when the ecosystem is balanced, we all win!
Who You Are
- A seasoned professional with a deep understanding of data science, particularly in marketing analytics, and a track record of leading innovative projects.
- Someone who thrives in developing and managing complex projects and interdisciplinary teams, and is adept at translating business needs into analytical models.
- 10+ years in Data Science, with at least 3 years in the Marketing Analytics domain.
- Advanced degree in Mathematics, Statistics, Analytics, Operational Research, or related fields.
- Proficient in machine learning, deep learning, NLP, and AI model development using Python, R, Scala, or similar languages.
- Experience with big data technologies and scripting languages (Java, C/C++).
- Familiarity with deep learning applications and tools (TensorFlow, Theano, etc.), and a solid grasp of neural networks, including computer vision nets.
- Essential experience with Large Language Models (GPT-3, Pathways, Google Bert, Transformer).
- Proven ability in problem-solving with a quantitative, scientific approach.
- Experience in a start-up environment or in building new products is a plus.
- Knowledge of cloud environments (AWS/GCP/Azure/Nvidia) and MLOPS.
How You Succeed
Success in this role is marked by the effective development and management of advanced data science projects, leading to tangible improvements in marketing analytics and data-driven decision-making. Additionally, maintaining a forward-thinking approach and staying abreast of the latest trends and practices in data science will be key indicators of performance.
What happens next
We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.