NBCUniversal is one of the world's leading media and entertainment companies. 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.
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.
As a member of the AdSmart Product Engineering Team, the Senior Engineer, Data Science, will be directly responsible for data science engineering as part of building out the necessary platform and products for NBCUniversal's Universal Workstation. NBCUniversal's audience management products will enable NBCUniversal to better understand its brand's audiences such as NBC News, Bravo, The Tonight Show, Saturday Night Live, and USA Network as well as audiences that cross brands. The goal is to ensure we know who is watching what, where and when. In turn enabling NBCUniversal's sales teams to properly align our audiences with the market advertisements that can benefit them the most.
You're a big thinker who can analyze and evangelize a long-range opportunity, architect a groundbreaking solution, and roll-up your sleeves to get code out the door when needed. You are data driven and analytical. You understand the concept of a value proposition and evaluation criteria, and you know how to align them with low level milestones to get the work done. You can apply domain knowledge from one technical subject, in order to quickly ramp and deliver on a new one. You know how to learn from failure until you succeed, and you are able to articulate and quantify the reasons for your decisions.
You will be part of the AdSmart Data Technology team, participating in the data architecture that will drive both current and future data management initiatives within NBCUniversal's Audience Studio group.
Responsibilities:
Serve as a senior data scientist for AdSmart data products.
Participate in, and execute, a product roadmap with input from the delivery team, and stakeholders.
Develop and code the data science services that is core to AdSmart, under the leadership and direction of the VP Architecture
Analyze and report results and adjust the overall engineering strategy accordingly with engineering leadership
Bachelor's degree in Data Science, Computer Science or related field
5+ years of software development experience
Strong knowledge of data structures, algorithms
Ability to effectively apply data science theory to advertising and audience data.
Fluency in Python modeling
Understanding of basic statistical concepts
Experience in forecasting, optimization, deep learning, or machine learning techniques.
Experience with both relational database design (SQL), non-relational (NoSQL), big data, real-time technologies
Able to easily transition between high-level strategy and day-to-day implementation
Native AWS experience
Desired Characteristics:
Experience with linear television or digital advertising technologies is highly preferred
Model building experience with GPU's
Experience with Bayesian Forecasting and Forecasting with Neural Networks
Understanding of Set Theory and Cardinality Estimation
Experience with Recurrent Neural Networks and Long Short-Term Memory Networks
Experience designing and developing optimization algorithms for scheduling, planning, and resource allocation
Experience applying operations research techniques such as linear programming, mixed integer programming, constraint programming, and metaheuristics
Experience with machine learning algorithms, including supervised, unsupervised and reinforcement learning a plus
Has a deep curiosity to analyze and understand the data in order to translate real-world challenges into mathematical models
Self-directed, ability to multi-task, sharp analytical abilities, excellent communication skills, capable of working effectively in a dynamic environment
Excellent written and verbal communication skills
Excellent teamwork and collaboration skills
Results oriented, high energy, self-motivated
Additional Requirements:
Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee's residence.
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. 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.
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