Principal Machine Learning Revenue Architect

NBCUniversal

Principal Machine Learning Revenue Architect at FreeWheel leading the development of MLR solutions through collaboration and technical expertise. Fostering innovation and driving economic growth in advertising technology.

Posted 4/30/2026full-timeRemote • California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington • 🇺🇸 United StatesLead💰 $163,047 - $382,142 per yearWebsite

Tech Stack

Tools & technologies

HadoopPythonSpark

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Best-in-class Benefits to eligible employees
Expert guidance and always-on tools that are personalized

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

statistical analysismachine learningdata miningdata visualizationPythonRHadoopSparkquantitative analysisproblem-solving

Soft Skills

critical thinkingcommunicationpresentationmentoringcollaborationleadershipadaptabilityfeedback gatheringteam managementinnovation

Certifications

Master's degreePhDquantitative field certification