Data Science Vice President

Job Description :

Key responsibilities : As a VP Data Science, you will play a critical role in our data-driven decision-making process and be deeply connected into projects with multi market impact. You’ll be responsible for working closely with senior product, business and strategy leaders in building data science-first platforms, products and communities. If you’re passionate about leveraging data to solve real-world problems, we’d love to have you on our team!

Responsibilities :

Advanced Analytics and Modeling, Generative AI and NLP :

o Develop and implement sophisticated statistical and machine learning algorithms including regression, classification, recommendation, natural language processing and computer vision models.

o Closely work with Product and Business leaders to develop models and products using custom deep learning implemented with architectures like RNNs, CNNs, transformers.

• Develop, train, and deploy classical ML models for regression, classification, clustering, time series forecasting.
• Apply feature engineering techniques to ensure high model quality.
• Build recommendation and optimization systems to enhance advertising performance (CPA, ROI, conversion rates).
• Use statistical modelling and causal inference for experimental design and impact measurement.
• Build LLM-powered systems using GPT, AWS Titan, Gemini, and BERT for semantic search, text classification, summarization, and conversational chatbots.
• Implement object detection and OCR pipelines using ResNet, VGG, and CNNs for creative performance evaluation and audience attention measurement.
• Build multimodal models combining image and text embeddings for ad performance prediction and content analysis.
• Collaborate with cross-functional teams to liaise for business requirements, organize and attend and lead Data Science informal and formal sessions
• Lead on given tasks in end-to-end data science projects, from problem formulation to model deployment.
• Manage project timelines, resources, and deliverables.
• Collaborate with technical teams, business analysts to build data initiatives.

Qualifications :

Dentsu is an integrated growth and transformation partner to the world’s leading organizations. Founded in 1901 in Tokyo, Japan, and now present in approximately 120 countries, it has a proven track record of nurturing and developing innovations, combining the talents of its global network of leadership brands to develop impactful and integrated growth solutions for clients.