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

You will be part of a dedicated team supporting our 365 days news operations. The ideal candidate will have demonstrated the ability to work alone and as part of a team. The role includes working on projects and wide range of broadcast technologies. Candidates must have a strong desire to learn and develop their skills. On-site shift work is required.  

Job Responsibilities: 

• Must be customer focused, results driven and able to work in 24/7/365 environment.  
• Responsibilities include installing, maintaining, upgrading, and troubleshooting broadcast technology.  
• Maintain, support & troubleshoot Over-the-Air broadcast equipment.  
• Able to quickly learn quickly, research and find information.    
• Documentation (AutoCAD), SOP’s and upkeep of maintenance logs and databases. 
• Works well under pressure to rectify technical issues in a timely manner. 
• Works well within a team but also works efficiently independently. 
• Undertake Projects as assigned and ensure on-time delivery. 
• Working with Division and Vendors on projects and troubleshooting.  
• Well-organized, self-motivated and ability to multi-task in a fast-paced environment.  
• Must be solution-oriented, proactive, and willing to go the extra mile to give our content teams what they need.  
• Must be able to act with urgency, immediacy, and make appropriate decisions. 
• Work with company Purchase Order system and vendors to issues PO’s, inventory management and asset management.
• Must be able to work during extreme Weather events in support of all Florida Stations

Qualifications

• Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
• 3-5 years of combined experience in data science in industry or research.
• Has expert knowledge of standard data science and statistical techniques
• Has a track record of successful deployment of machine learning models, frameworks, and their training, prediction time, and implications on production systems
• Has strong knowledge of two of causal inference techniques, Gen AI (LLM) implementation, or contextual bandits
• Experience implementing scalable systems (Google Cloud preferred).
• Experience with data visualization tools and techniques.
• Ability to develop ideas with stakeholders and turn them into rigorous solutions
• Proficient in Python and SQL

Desired Characteristics

• Working experience with product teams to deploy prescriptive machine learning models to drive one or more KPIs.
• Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.)
• Implementing and owning end-to-end data projects with a diverse group of stakeholders
• Knowledge of best practices with unit and data testing
• Familiarity with low latency apis for Machine Learning inference

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: $165,000-$190,000, bonus and 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.