Note: The job is a remote job and is open to candidates in USA. Brainlabs is a media agency focused on driving profit through data-driven insights. The Director of Data Science will lead the vision and roadmap for data science in the NAMER region, focusing on analytics and media activation, while mentoring cross-functional teams and applying AI/ML to business challenges.

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

• 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

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