FreeWheel
Advertising Technology
Sr.PrincipalMachineLearningRevenueArchitect
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“Sr. Principal Machine Learning Revenue Architect at FreeWheel. Skills: Machine Learning, Revenue Architecture, Statistical Analysis, Team Leadership. Leading and coordinating the strategic development of MLR solutions. Designing how algorithms embed within broader systems”
What You'll Achieve.
Ensure efforts drive economic growth; Define Project KPIs and Analytics Strategies; Measure success; Monitor system outcomes/dynamics; Drive results and growth
Industry & Context.
Exceptional problem-solving and critical thinking skills; Critical Thinking
Must be able to work nights and weekends, variable schedule(s) as necessary
What They're Looking For.
Must Have
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, Expertise in statistical analysis, machine learning, data mining, and data visualization, Proficiency in languages like Python or R, 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, Bachelor's Degree
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Leading and coordinating the strategic development of MLR solutions
Designing how algorithms embed within broader systems
data scientists and analysts
Collaborating with business stakeholders to ensure efforts drive economic growth
Understanding the problem
the operational and system constraints
Defining how opportunities fit within the long-term evolution of the systems
Determining how we can measure success and monitor system outcomes/dynamics
Defining and driving the evolution of the solution
Identifying points of high leverage
and phases/evolution of the system
Determining whether and how 3rd party capabilities can be integrated into the solution
Evolving plans and direction as we iteratively gather feedback and learn about solution effectiveness
Identifying and resolving roadblocks
Adapting plans to meet target timelines
Mentoring of data scientists and analysts
Providing technical guidance
Ensuring the team uses appropriate tools and methodologies
Staying current with emerging trends in data science
and big data technologies
How You'll Work.
Team & Collaboration
Collaborating with business stakeholders; Collaborate with cross-functional leaders to identify opportunities, communicate and evaluate solutions, and gather feedback; Fostering a collaborative and high-performing environment; Win as a team make big things happen by working together and being open to new ideas
Communication Scope
Excellent communication and presentation skills to translate complex data into actionable business strategies for various audiences
Process & Methodology
Project stewardship, Evolve plans and direction, Identify and resolve roadblocks, Adapt plans to meet target timelines
Full Job Description
FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world. **Job Summary** The Machine Learning Revenue (MLR) Architect is a senior leadership role responsible for leading and coordinating the strategic development of MLR solutions. This position requires a blend of business understanding, critical thinking skills along with expertise in Machine Learning (ML) methodologies, business process and systems architecture design. Key duties include designing how algorithms embed within broader systems, leading engineers, data scientists and analysts, and collaborating with business stakeholders to ensure efforts drive economic growth. **Job Description** * Opportunity Definition 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. * Define Project KPIs and Analytics Strategies : Based on the problem and the * available data, determine how we can measure success and monitor system * outcomes/dynamics. * Solutions design: 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. Solutions may include changes to data, operational processes, and software systems. * Project stewardship: Evolve plans and direction as we iteratively gather feedback and learn about solution effectiveness. Identify and resolve roadblocks, miscommunication, a
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