Senior Principal Machine Learning Revenue Architect

NBCUniversal

Machine Learning Revenue Architect leading strategic development of MLR solutions at FreeWheel. Collaborating with engineers and business stakeholders to ensure economic growth.

Posted 5/7/2026full-timeRemote • North Carolina • 🇺🇸 United StatesSenior💰 $192,396 - $450,928 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.
Communicate this to the team to ensure team members have a clear understanding of the problem.
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.
Determine whether and how 3rd party capabilities can be integrated into the solution.
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.

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 solution 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
Health insurance
Expert guidance
Always-on tools
Personalized options to support physical, financial and emotional needs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

statistical analysismachine learningdata miningdata visualizationPythonRHadoopSpark

Soft Skills

problem-solvingcritical thinkingcommunicationpresentationmentoringcollaboration

Certifications

Master's degreePhD