Manager, Data Science, Ad Sales Data, Measurement, Insights (DM&I)

Company Description

We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we’ll continue to create and deliver content that reflects the current and ever-changing face of the world.

Job Description

Job Purpose

The NBCU Ad Sales Data, Management and Insights (DMI) team is responsible for first party data enablement, measurement and insights products. This includes the collection, standardization, and management of data across NBCUniversal to enable for activation, monetization, and engagement in secure, privacy-centric ways, identity interoperability with our partners, and data enablement for our insights and data science teams.

As the Manager, Data Science, Ad Sales DMI, you will be a key constituent of the DMI Data Science team and have a key role around the application of analytic techniques to drive and enhance the Ad Sales performance across the NBCU portfolio.

You will be responsible for ensuring timely delivery of data, analytics, and strategic consulting to support the DMI data science projects. You will integrate project work and findings with DMI Data Science analytics leadership as well as collaborate with the broader Ad Sales organization to advance data science initiatives.

You will also participate in creating and articulating solutions and in developing methods or processes for implementation and quality assurance on all deliverables. To succeed in this role, you will need to demonstrate strategic thinking, logical reasoning, strong communication and presentation skills, outstanding analytic skills, and the ability to resolve complex issues.

Responsibilities & Requirements

• Hands-on Technical Responsibilities
  • Execute a wide variety of data science projects including predictive modeling, profiling, journey analysis, experimental test design and analysis, and customer segmentation.
  • Extract and process large quantities of data from data warehouses and other data marts in support of assignments.
  • Analyze marketing metrics to identify cause-effect relationships between marketing levers and outcomes.
  • Data mining and analysis, including the ability to independently QA database information and help drive database enhancements via communication and requirements documentation for technology teams.
  • Develop test designs to support one-time and longitudinal test plans.
  • Work with data engineers to provide data requirements and availability for use by data scientists
• Non-technical, Developmental Requirements
  • Work directly with DMI Data Science leadership to develop, write, and present strategic recommendations and analysis plans that directly address Ad Sales organizational questions.
  • Turn complex data into practical and actionable marketing insights.
  • Manage projects tasks, timelines, and deliverables.
  • Stay up-to-date on the latest data science techniques and algorithms, especially in the AI and GenAI spaces.
  • Work with cross-disciplinary, internal and external teams to identify and prioritize data science projects, including sales, Product, Governance, Privacy, IT, and external vendors & partners.

Qualifications

• 5+ years of experience in the quantitative marketing arena
• Proficiency with multiple analytics tools required (Python, SQL, R, etc.)
• Python strongly preferred, including experience with current machine learning frameworks and tools such as Pandas, NumPy, scikit-learn, TensorFlow, PySpark MLlib
• Experience with large-scale data processing tools like