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Lead Data Scientist, Peacock Decision Sciences

NBCUniversal, LLC, New York, New York

Create the extraordinary.

Level: Manager (Supervisor)


At Peacock, the dynamic new streaming service from NBCUniversal you’ll find more than a job. Here you’ll find a fast-paced, high-flying team of unique birds who want to be at the epicenter of technology, sports, news, tv, movies and more. We work 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 new areas like deep learning and reinforcement learning? Do you want to be a part of the team that builds and advanced recommender engine, active leaning platform, personalized solutions for marketing and advertisement? Join the world-class international team of smart, hungry and fearless 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 Lead Data Scientist will be responsible for creating analytical solutions for one or more verticals of NBCU’s video streaming service including, but not limited to, the recommender system, automated marketing, personalized advertisement, commerce and revenue optimization systems, customer journey and CRM solutions.

In this role, the Lead Data Scientist will use advanced data science methodologies including collaborative filtering, deep learning, reinforcement learning, on-line modeling etc. and work closely with business owners, teammates and engineers to build a state-of-the-art real-time video streaming service.


Responsibilities include, but are not limited to:

• Lead a group of data scientists in the development of analytical models using statistical, machine learning and data mining methodologies. Advise, help to resolve issues and handle non-standard cases.
• Define procedures for cleansing, discretization, imputation, selection, generalization etc. to create high quality features for the modeling process.
• Work with business stakeholders to define business requirements including KPI and acceptance criteria.
• Use big data, relational and non-relational data sources to access data at the appropriate level of granularity for the needs of specific analytical projects. Maintains up to date knowledge of the relevant data set structures and participate in defining necessary upgrades and modifications.
• Collaborate with software and data architects in building real-time and automated batch implementations of the data science solutions and integrating them into the streaming service architecture.
• Drive work on improving the codebase and machine learning lifecycle infrastructure.

• Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
• 5+ years of combined experience in advanced analytics in industry or research.
• Experience in leading small teams or/and being a lead data scientist on large commercial projects.
• Deep knowledge of statistical methods and machine learning with special emphasis on the advanced algorithms like neural networks, SVM, random forests, bagging, gradient boosting machines, k-means++, deep learning or reinforcement learning. Expert level in 5+ classes of algorithms.
• Experience implementing scalable, distributed, and highly available systems using Google Cloud.
• Experience with data visualization tools and techniques.
• Understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.
• Proficient in at least one statistical (R, Python) and one programming (Julia, Java, Scala or similar) languages.
• Strong skills in data processing using SQL and PySpark.
• Experience with data visualization tools and techniques.
• Experience implementing scalable, distributed, and highly available systems using Google Cloud.

• Experience with GCP AI Platform and BigQueryWorking experience with commercial recommender systems or a lead role in an advanced research recommender system project.
• Experience with reinforcement learning based systems.
• Working experience with deep learning, particularly in the areas different form the computer vision.
• Experience with multi-billion record datasets and leading projects that span the disciplines of data science and data engineering
• Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.)
• Experience with television ratings and digital measurement tools (Nielsen, Rentrak, ComScore etc.)
• Experience building streaming data pipelines using Kafka, Spark or Flink
• Experience with large-scale video assets
• Team oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and tools
• Pride and ownership in your work and confident representation of your team to other parts of NBCUniversal

NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service.

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. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Click here to learn more about Comcast NBCUniversal’s commitment and how we are making an impact.

NBCUniversal’s policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.

About NBCUniversal, LLC

We are one of the world’s leading media and entertainment companies in the development, production, and marketing of entertainment, news and information to a global audience.

NBCUniversal owns and operates a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks, and a premium ad-supported streaming service. NBCUniversal is a subsidiary of Comcast Corporation.

At NBCUniversal, we believe in the talent of our people. It’s our passion and commitment to excellence that drives NBCU’s vast portfolio of brands to succeed. We take pride in all that we do and all that we represent. It’s what makes us uniquely NBCU. Join us.

NBCUniversal, LLC

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