Company DescriptionWe 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 *** , *** News, MS *** , *** , *** Sports, *** , *** Local Stations, Bravo, USA Network, and *** , 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. *** Universal 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 *** Universal 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 DescriptionOur Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by *** industry leaders, Comcast, *** Universal, and Sky. When you join our team, you'll work across our dynamic portfolio including *** , NOW, Fandango, Sky *** , Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesn't stop there. With unequaled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We're always looking for ways to innovate faster, accelerate our growth, and consistently offer the very best in consumer experience. But most of all, we're backed by a culture of respect. We embrace authenticity and inspire people to thrive.
As part of the Direct-to-Consumer Recommendation Sciences team, the Director, Data Science will be responsible for creating generative and classical machine learning solutions for *** U's video streaming ser *** including but not limited to, content recommendations, product experience personalization, and personalized ad services.
In this role specifically, the you will lead a pod of data scientists through algorithmic solution design, rapid prototyping, and technical review for the ML/AI models underlying personalized user experiences and content promotion. You will be a key point of contact for cross-functional architects and software developers as they integrate personalized data products and capabilities across our suite of global and domestic products. You will work with a dynamic cohort of high calibar individuals across Product, Technology, Marketing, Content Discovery, Editorial, and more to build a state-of-the-art real-time video streaming service
Responsibilities include, but are not limited to:- Build and manage a high-performance team of data scientists.
- Lead the team in the development of a recommendation system modeling and experimentation framework.
- Work with business stakeholders to define priorities, approaches and business requirements for the analytical solutions.
- Manage multiple priorities across business verticals and machine learning lifecycle projects.
- Lead work with engineering teams to define data science driven requirement and solutions for major initiatives and opportunities of the streaming ser *** functionality.
- Drive innovation of the statistical and machine learning methodologies and tools used by the team. Lead improvements in machine learning lifecycle infrastructure.
- Drive a data science culture that inspires and motivates the team to succeed.
Qualifications- Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
- 6+ years of combined experience in software development or data science
- Experience with commercial recommender systems or a lead role in an advanced research recommender system project.
- Cloud certification (with exam) in either solutions architecture or Machine Learning from AWS, Google, Microsoft, or other major cloud software provider
- Working experience with deep learning, including computer vision, computational linguistics/conversational AI, or recommender systems. Strong experience with deep learning using TensorFlow.
- Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.
- Proficiency in Python. Go, Scala, or Java is a plus.
- Experience in data processing using SQL and PySpark, and extensive experience with NoSQL and Feature Store production interactions
- Good understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.
Desired Characteristics:- Experience in content streaming or commerce as a senior contributor to AI/ML-powered product features and user experiences
- Experience with reinforcement learning based systems.
- Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.).
- Experience with large-scale video assets.
- Ability to build trust across the organization and socialize solutions and identified data insights
- Pride and ownership in your work and confident representation of your team to other parts of *** Universal.
Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non- *** Universal worksite, most commonly an employee's residence.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by *** Universal by visiting the Benefits page of the Careers website.
Salary range: $200,000 - 250,000, (bonus and long-term incentive eligible)Additional Information *** Universal'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. *** Universal 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.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access *** as a result of your disability. You can request reasonable accommodations by emailing [Please reply using Staff Me Up] .