Responsibilities

• Partner with Planning & Investment teams to provide expert hands-on and well as strategic Data Science support across the entire campaign lifecycle.
• Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/ publishers
• Run descriptive and diagnostic analyses to help measure campaign performance within clean rooms and/or other analytics platforms (e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.)
• Help develop strategic analytical roadmaps to institutionalize data driven outcomes
• Excellent project management skills with an ability to set and achieve goals, meet deadlines and act with a strong sense of urgency without compromising executional excellence
• Leverage technical (coding) expertise to help bring about process efficiencies
• Build and present decks that provide a compelling narrative to decode complex analytical results to technical and non-technical audiences
• Help design and develop the DS practice knowledge repository and delegate tasks to junior resources to support vision
• Lead and train direct reports and manage their career progression

Requirements

• Hands-on programming language skills (SQL, Python, R, etc)
• Experienced in machine learning techniques, causal models, etc. to support the analysis of information
• Advanced presentation and communication skills
• Experience working with non-technical teams
• Clear understanding of digital clean rooms, and their related concepts and strategy
• Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online)
• Expert-level domain knowledge of business/industry
• A university degree in mathematics, computer science, statistics or related field, and 7-10 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting
• Knowledge of agency-side execution process is desirable, but not required