Sr. Lead Data Scientist, Decision Sciences

Job Description

Responsibilities
Welcome to Peacock, the dynamic new streaming service from NBCUniversal. Here you'll find more than a job. You'll find a fast-paced, high-flying team for unique birds that want to be at the epicenter of technology, sports, news, tv, movies and more. Our flock works hard to connect people to what they love, each other and the world around them by creating shared experiences through culture-defining entertainment.

As a company, we embrace the power of difference. Our team is committed to creating an organization that champions diversity and inclusivity for all by curating content and a workforce that represents the world around us. We continue to challenge ourselves and the industry by being customer-centric, data-driven creatures of innovation. At Peacock, we are determined to forge the next frontier of streaming through creativity, teamwork, and talent.

Here you can fly to new heights!

Are you ready to go beyond classic predictive analytics to the frontier of applied machine learning? Do you want to be a part of the team that builds KPIs, models, and optimal policies at scale that provide insight, understanding, and paths to action for all content in the Peacock Library? Join a growing team of smart and hungry professionals who are working at the cutting edge of technology and science at the epicenter of content, technology, and culture.

Position Overview:

As part of the Direct-to-Consumer Decision Sciences team, the Senior Data Scientist will be responsible for creating analytical solutions for one or more of the content verticals of NBCU's video streaming service.

In this role, the Senior Data Scientist will build and deploy machine learning solutions at scale to empower and optimize leadership's and our research partners' abilities to lift our enterprise metrics by best leveraging Peacock's library, its individual content, and its content's elements.
Our Sr. Lead Data Scientists serve as a team expert in advanced statistical and machine learning methodologies and lead both data scientists and projects to create analytical solutions for multiple business verticals.

Responsibilities include, but are not limited to:
• Lead projects and data scientists in the development of analytical models using statistical, machine learning and data mining methodologies
• Serve as the team expert in statistical methods and applied machine learning
• Drive the collection and manipulation of new data and the refinement of existing data sources
• Possess a strong understanding of the differences between inferential, predictive, prescriptive models and experience applying methods in all three areas
• Work with business stakeholders to define priorities, approaches and business requirements for data science solutions
• Translate complex problems and solutions to all levels of the organization
• Drive innovation of the methodologies and tools used by the team.

Qualifications/Requirements
• PhD, MS, or 3+ years research experience in computational social science, applied mathematics, cognitive and neural sciences, economics, information retrieval, statistics, or another quantitative/computational discipline
• 5+ years of combined experience in advanced analytics in industry or research experience
• Experience in leading small teams or/and being a lead data scientist on large commercial projects.
• Expert level knowledge of statistical methods and machine learning. Ability to define the direction for a project and select appropriate methods and tools using up to date knowledge of recent advancements
• Experience using data visualization tools and techniques to deliver and present business insights and value
• Experience designing performance metrics and using machine learning for feature engineering
• Experience implementing scalable systems using Google Cloud (GCP) or similar cloud platform.
• Proficient in Python and SQL

Desired Characteristics
• Experience with television ratings and digital measurement tools (Nielsen, Rentrak, ComScore etc.)
• Experience with ownership of data products, either internal or consumer-facing
• Experience owning data pipelines and machine learning pipelines using airflow
• Experience in a subscription and active user driven business
• Strong oral and written communication skills
• Excitement for selling and presenting Machine Learning to drive product development
• Team oriented and collaborative approach with a demonstrated aptitude and willingness to mentor and teach
• Pride and ownership in your team's work and confident representation of your team to other parts of NBCUniversal

Jobcode: Reference SBJ-r0npe8-18-218-38-125-42 in your application.