Responsibilities

• External facing responsibilities:
• Partner with Planning & Investment teams to provide expert hands-on 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.)
• Strong project management skills with an ability to set priorities, meet deadlines and know when to ask for help
• Leverage technical (coding) expertise to help bring about process efficiencies
• Internal Facing Responsibilities
• Contribute to building decks and reports that help translate analytical results to internal and client teams
• Contribute to building DS Practice knowledge repository via decks, documents, and other artifacts
• Lead and train managers and other junior team members

Requirements

• Hands-on programming language skills (SQL, Python, R, etc)
• Intermediate exposure to machine learning techniques, causal models, etc. to support the analysis of information
• Advanced presentation and communication skills
• Some experience working with non-technical teams
• Knowledge of digital clean rooms, and their related concepts and strategy
• Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online)
• Demonstrated domain knowledge of business/industry
• A university degree in mathematics, computer science, statistics or related field, and 5-7 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting