Job
Description
As a VP Data Science, you will play a critical role in the data-driven decision-making process and will have a deep impact on projects across multiple markets. You'll collaborate closely with senior product, business, and strategy leaders to build data science-first platforms, products, and communities. If you are passionate about using data to solve real-world problems, we would be thrilled to welcome you to our team! **Key Responsibilities:** - Develop and implement sophisticated statistical and machine learning algorithms, including regression, classification, recommendation, natural language processing, and computer vision models. - Work closely with Product and Business leaders to develop models and products using custom deep learning architectures like RNNs, CNNs, and transformers. - Create, train, and deploy classical ML models for regression, classification, clustering, and time series forecasting. - Apply feature engineering techniques to ensure high model quality. - Build recommendation and optimization systems to enhance advertising performance metrics like CPA, ROI, and conversion rates. - Utilize statistical modeling and causal inference for experimental design and impact measurement. - Implement LLM-powered systems using GPT, AWS Titan, Gemini, and BERT for semantic search, text classification, summarization, and conversational chatbots. - Develop object detection and OCR pipelines using ResNet, VGG, and CNNs for creative performance evaluation and audience attention measurement. - Construct multimodal models combining image and text embeddings for ad performance prediction and content analysis. - Collaborate with cross-functional teams to understand business requirements, organize Data Science sessions, and lead end-to-end data science projects. - Manage project timelines, resources, and deliverables. - Collaborate with technical teams and business analysts to drive data initiatives. **Qualifications:** - Education: Bachelors, Masters, or Ph.D. in a quantitative field such as Data Science, AI, Computer Science, Statistics, Mathematics, or a related field. - Experience: Minimum of 8 years in data science, machine learning, or related roles. - Knowledge of media buying, advertising, digital marketing, programmatic buying, DSPs, Meta Facebook Business Manager, and TikTok campaign activation is advantageous. - Familiarity with media planning and buying references and metrics is preferred. - Strong verbal and written communication skills along with experience in senior stakeholder management are beneficial. **Technical Skills:** - Strong Proficiency in Python or similar programming languages and efficient API development. - Solid knowledge of machine learning techniques including Regression, Classification, Clustering, Forecasting, Feature Engineering, Optimization, Recommendations, and Computer Vision. - Experience with big data tools like Spark and cloud platforms such as AWS, GCP, and Azure, as well as data visualization software like PowerBI, Tableau, and Plotly. - Good understanding of data engineering methods and techniques including BigQuery, Snowflake, and Data Lake design principles. - Strong working knowledge of JIRA, Confluence, CI/CD pipelines, software IDEs, and repo management. - Good understanding of technical project management, especially when working with data scientists, engineers, and product managers. Dentsu is an integrated growth and transformation partner with a global presence across approximately 120 countries. Since its founding in Tokyo, Japan in 1901, Dentsu has been known for nurturing and developing innovations, leveraging the talents of its leadership brands to create impactful growth solutions for clients.,
