Senior Data Scientist, Corporate Decision Sciences

Company Description

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.

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. 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 Description

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.

The Decision Sciences division at NBCUniversal Media Group helps drive advanced analytics by building and integrating pragmatic data science principles and products throughout the Company. The division focuses primarily on decision science analyses to support and inform strategy and key business decisions and building advanced data products to help enable more data-enhanced decision making.

This Senior Data Scientist role is dedicated to advancing content value forecasting for Peacock through robust machine learning models and close collaboration with stakeholders. The position plays a pivotal role in aligning NBCUniversal’s approach to content valuation across platforms, ensuring consistency and insight-driven decision-making.

Responsibilities

• Develop and implement state-of-the-art models to forecast content value for Peacock with high accuracy and reliability.
• Maintain and optimize data pipelines for seamless delivery and integration of content value forecasts.
• Build trust with stakeholders by understanding their needs and designing solutions that are customized to meet both their immediate priorities and long-term goals
• Support the unification of NBCUniversal’s content valuation by aligning and integrating forecasting methodologies across platforms.
• Leverage predictive analytics to provide actionable insights that guide strategic content-related decisions.
• Communicate findings effectively to stakeholders and cross-functional teams to drive business initiatives.

Qualifications

• PhD strongly preferred in Statistics, Computer Science, Mathematics, or a related quantitative field (or a Master’s degree with significant industry experience).
• 3+ years of relevant industry experience in data science, forecasting, or analytics, in addition to a PhD, with a strong focus on machine learning, deep learning, time-series modeling, and predictive analytics.
• Expert proficiency in SQL and Python
• Strong understanding of machine learning and deep learning models, especially in the context of data analysis and forecasting
• Proven experience synthesizing complex data, including forecasting outcomes, and presenting clear, actionable insights to senior stakeholders.
• Demonstrated ability to work independently with minimal guidance and take ownership of high-quality solutions.

Desired Qualifications

• Strategic thinker capable of linking data science solutions to overarching business objectives, particularly in the context of content value.
• Self-starter with a strong sense of ownership and accountability in delivering forecasting solutions.
• Excellent communication skills for engaging with cross-functional teams and executives, with an ability to translate forecasting and data science insights into business terms.
• Collaborative, team-oriented mindset with a demonstrated aptitude for learning new methods and tools.
• Experience working with content forecasting in television or streaming services is a plus.

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 of the Careers website. Salary range: $120,000-$150,000

Additional Information

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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