Note: The job is a remote job and is open to candidates in USA. Brainlabs is the media agency built to answer one question: what's actually driving profit? The Director of Data Science will lead the vision and roadmap for Data Science across the NAMER region, focusing on cutting-edge analytics and media activation while mentoring cross-functional teams and driving innovation.
Responsibilities
- Craft and implement the roadmap for NAMER Brainlabs Data Science capabilities, focusing on leading-edge technology for data insights and media activation
- Collaborate with Account leads on thought leadership and new business opportunities, overseeing the process from inception to execution
- Lead all phases of product development, from capability definition and business solution design to data structuring, machine learning, and communicating business impacts
- Apply data science and AI/ML/DL frameworks to complex business problems, using supervised and unsupervised modeling techniques
- Provide technical and strategic leadership in data science, mentoring a cross-functional team including engineering, sales, and marketing
- Research and implement next-generation solutions in digital and media analytics, leveraging advancements like GPT-3, other LLMs, NLP, and Deep Learning
Skills
- 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
- Knowledge of cloud environments (AWS/GCP/Azure/Nvidia) and MLOPS
- Experience in a start-up environment or in building new products is a plus
Company Overview