NBCUniversal
VP Recommendation Science Media Group Decision Sciences
NBCUniversal, Long Island City, New York, United States, 11101
Job Description
To be considered for an interview, please make sure your application is full in line with the job specs as found below.Our Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal and Sky. When you join our team, you’ll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesn’t stop there. With unequalled 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.
Are you ready to go beyond classic predictive analytics to new areas like deep learning and reinforcement learning? Do you want to be a part of the team that builds an advanced recommender engine, active learning platform, personalized solutions for product, 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.
As part of the Media Group Data Science team, the VP, Recommendation Science will be a strategic partner in collaboration with Product and Technology to deliver industry-defining personalization. They will provide leadership and mentorship for a team of data scientists in the design and execution of advanced personalization models and heuristics, including but not limited to, content recommendations, product experience personalization, GenAI-based image and text personalization, and personalized ad services. They will further provide guidance and support for cross-functional team of architects, analysts, ML Engineers, and software developers as they integrate personalized data products and capabilities across our suite of global and domestic products. This is a dynamic cohort of high-caliber, opinionated leaders across Product, Technology, Marketing, and Content Discovery committed to building a state-of-the-art real-time video streaming service
Responsibilities include, but are not limited to:
Build and strategically lead a high-performance team of data scientists in an experimentation-led environment.
Lead the data science team in the development of a recommendation system modeling and experimentation framework.
Work with business stakeholders to define priorities, best approaches and business requirements for analytical and experimentation solutions.
Lead work with engineering teams to define data science driven requirement and solutions for major initiatives and opportunities of the streaming service 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:Qualifications
Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
Minimum 10 years of combined experience in software development, analytics, or data science
Experience with commercial recommender systems or a lead role in an advanced research recommender system project.
Demonstrable experience with deep learning, including computer vision, computational linguistics/conversational AI, or recommender systems.
Good understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.
Proven ownership and entrepreneurship enabling and leading high performing cross-functional experimentation programs.
Proficiency in Python.
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.
Go, Scala, or Java is a plus.
Cloud certification (with exam) in either solutions architecture or Machine Learning from AWS, Google, Microsoft, or other major cloud software provider
Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.
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 NBCUniversal by visiting theBenefits page of the Careers website.
Salary range: $250,000-$300,000 (bonus & LTI eligible)
Additional Information
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.
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 nbcunicareers.com as a result of your disability. You can
request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com.
Qualifications
* Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.* Minimum 10 years of combined experience in software development, analytics, or data science* Experience with commercial recommender systems or a lead role in an advanced research recommender system project.* Demonstrable experience with deep learning, including computer vision, computational linguistics/conversational AI, or recommender systems.* Good understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.* Proven ownership and entrepreneurship enabling and leading high performing cross-functional experimentation programs.* Proficiency in Python.
**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.* Go, Scala, or Java is a plus.* Cloud certification (with exam) in either solutions architecture or Machine Learning from AWS, Google, Microsoft, or other major cloud software provider
Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.
_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 NBCUniversal by visiting the[Benefits page](https://www.nbcunicareers.com/benefits) of the Careers website._ **Salary range: $250,000-$300,000 (bonus & LTI eligible)**
Additional Information
NBCUniversal's policy is to provide equal employment opportunities to all applicantsand employees without regard to race, color, religion, creed, gender, gender identityor expression, age, national origin or ancestry, citizenship, disability, sexualorientation, marital status, pregnancy, veteran status, membership in the uniformedservices, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran, you have theright to request a reasonable accommodation if you are unable or limited in yourability to use or access [nbcunicareers.com](http://nbcunicareers.com) as a result of your disability. You canrequest reasonable accommodations by emailing [AccessibilitySupport@nbcuni.com](mailto:AccessibilitySupport@nbcuni.com).#J-18808-Ljbffr
To be considered for an interview, please make sure your application is full in line with the job specs as found below.Our Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal and Sky. When you join our team, you’ll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesn’t stop there. With unequalled 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.
Are you ready to go beyond classic predictive analytics to new areas like deep learning and reinforcement learning? Do you want to be a part of the team that builds an advanced recommender engine, active learning platform, personalized solutions for product, 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.
As part of the Media Group Data Science team, the VP, Recommendation Science will be a strategic partner in collaboration with Product and Technology to deliver industry-defining personalization. They will provide leadership and mentorship for a team of data scientists in the design and execution of advanced personalization models and heuristics, including but not limited to, content recommendations, product experience personalization, GenAI-based image and text personalization, and personalized ad services. They will further provide guidance and support for cross-functional team of architects, analysts, ML Engineers, and software developers as they integrate personalized data products and capabilities across our suite of global and domestic products. This is a dynamic cohort of high-caliber, opinionated leaders across Product, Technology, Marketing, and Content Discovery committed to building a state-of-the-art real-time video streaming service
Responsibilities include, but are not limited to:
Build and strategically lead a high-performance team of data scientists in an experimentation-led environment.
Lead the data science team in the development of a recommendation system modeling and experimentation framework.
Work with business stakeholders to define priorities, best approaches and business requirements for analytical and experimentation solutions.
Lead work with engineering teams to define data science driven requirement and solutions for major initiatives and opportunities of the streaming service 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:Qualifications
Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
Minimum 10 years of combined experience in software development, analytics, or data science
Experience with commercial recommender systems or a lead role in an advanced research recommender system project.
Demonstrable experience with deep learning, including computer vision, computational linguistics/conversational AI, or recommender systems.
Good understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.
Proven ownership and entrepreneurship enabling and leading high performing cross-functional experimentation programs.
Proficiency in Python.
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.
Go, Scala, or Java is a plus.
Cloud certification (with exam) in either solutions architecture or Machine Learning from AWS, Google, Microsoft, or other major cloud software provider
Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.
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 NBCUniversal by visiting theBenefits page of the Careers website.
Salary range: $250,000-$300,000 (bonus & LTI eligible)
Additional Information
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.
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 nbcunicareers.com as a result of your disability. You can
request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com.
Qualifications
* Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.* Minimum 10 years of combined experience in software development, analytics, or data science* Experience with commercial recommender systems or a lead role in an advanced research recommender system project.* Demonstrable experience with deep learning, including computer vision, computational linguistics/conversational AI, or recommender systems.* Good understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.* Proven ownership and entrepreneurship enabling and leading high performing cross-functional experimentation programs.* Proficiency in Python.
**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.* Go, Scala, or Java is a plus.* Cloud certification (with exam) in either solutions architecture or Machine Learning from AWS, Google, Microsoft, or other major cloud software provider
Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.
_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 NBCUniversal by visiting the[Benefits page](https://www.nbcunicareers.com/benefits) of the Careers website._ **Salary range: $250,000-$300,000 (bonus & LTI eligible)**
Additional Information
NBCUniversal's policy is to provide equal employment opportunities to all applicantsand employees without regard to race, color, religion, creed, gender, gender identityor expression, age, national origin or ancestry, citizenship, disability, sexualorientation, marital status, pregnancy, veteran status, membership in the uniformedservices, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran, you have theright to request a reasonable accommodation if you are unable or limited in yourability to use or access [nbcunicareers.com](http://nbcunicareers.com) as a result of your disability. You canrequest reasonable accommodations by emailing [AccessibilitySupport@nbcuni.com](mailto:AccessibilitySupport@nbcuni.com).#J-18808-Ljbffr