Work with business and operational teams to understand the problem, the operational and system constraints, the available data, and decision points.
Define how opportunities fit within the long-term evolution of the systems.
Based on the problem and the available data, determine how we can measure success and monitor system outcomes/dynamics.
Define and drive the evolution of the solution, identifying points of high leverage, and phases/evolution of the system.
Evolve plans and direction as we iteratively gather feedback and learn about solution effectiveness.
Collaborate with cross-functional leaders to identify opportunities, communicate and evaluate solutions, and gather feedback.
Mentor of data scientists and analysts, fostering a collaborative and high-performing environment.
Provide technical guidance, set standards, and ensure the team uses appropriate tools and methodologies.
Stay current with emerging trends in data science, AI, and big data technologies to drive innovation and maintain a competitive advantage.

A Master's or PhD in a quantitative field such as Management Science, Computational Economics, Statistics, or Computer Science, or equivalent industry experience.
Extensive experience in Advertising Technology, with a proven track record of delivering business results.
Strong understanding of how math can be leveraged to solve business problems and drive growth.
Strong understanding of digital advertising ecosystem and technologies.
Exceptional problem-solving and critical thinking skills.
Strong expertise in statistical analysis, machine learning, data mining, and data visualization.
Proficiency in languages like Python or R, and experience integrating solutions into the enterprise infrastructure.
Experience with big data technologies such as Hadoop and Spark.
Proven experience in leading and managing teams of technical professionals.
Excellent communication and presentation skills to translate complex data into actionable business strategies for various audiences.

Principal Machine Learning Revenue Architect

Key skills