Data Science Vice President

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:

• Education: Bachelor’s, Master’s or Ph.D. in a quantitative field (e.g., Data Science, AI, Computer Science, Statistics, Mathematics, or related).
• Experience:
• Minimum of 8 years in data science, machine learning, or related roles.
• Knowledge of media buying, advertising, digital marketing, programmatic buying, DSP’s, Meta Facebook Business Manager, TikTok campaign activation, is a strong good to have.
• Familiarity with media planning and buying references and metrics will be preferred
• Strong verbal, written communication skills and previous experience in senior stakeholder management is a plus
• Technical Skills:
• Strong Proficiency in Python, or similar programming languages and efficient API development.
• Strong knowledge of machine learning techniques (Regression, Classification, Clustering, Forecasting, Feature Engineering, Optimization, Recommendations, Computer Vision.).
• Experience with big data tools (e.g., Spark) and cloud platforms (e.g., AWS, GCP, Azure) and data visualization software such as PowerBI, Tableau, Plotly, Advanced Excel
• Good knowledge of data engineering methods and techniques including BigQuery, Snowflake, Data Lake design principles
• Strong working knowledge of JIRA, Confluence and CI/CD pipelines, software IDE’s, repo management
• Good knowledge of technical project management especially working with data scientists, engineers, product managers

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.