Spring Intern - Data Science & Analytics

Job Description

Responsibilities

Spring 2023 Internship Program:
• Applications Close: October 7, 2022, at 11:59pm ET. Pro Tip: Submit your application as soon as possible – don't delay!
• Program Dates: January 17 – April 21, 2023
• Time Commitment: 16-24 hours per week. Exact schedule to be determined based on business need. We will do our best to accommodate course schedules.

To Apply:
• Submit a one-page resume that outlines your work experience, accomplishments, and your graduation month and year.
• Submit a cover letter that highlights your passion for NBCUniversal, the locations (listed below) you are open to for internships, and your top areas of interest (opportunities listed below).
• Upload a transcript (unofficial transcripts are fine) that confirms your status as an actively enrolled student in a degree-granting program.
Our Data Science and Analytics internships are designed to provide interns with real-world experience working on projects in a typical Data Science or Analytics environment, using state-of-the-art tools and technologies, while gaining broad exposure to the media industry. Interns will acquire specific responsibilities, goals, and timelines aligned with the teams they are embedded in. We have a world-class 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.

Areas of placement may include, but are not limited to:
• Peacock Product & Advertising Experimentation: The Experimentation team oversees all experimentation efforts within Peacock. This includes planning, designing, executing, and analyzing experiments. The team partners with stakeholders across the organization, specifically around Product and Advertising, to implement strategic initiatives that drive growth via A/B/n and multivariate testing. Within this role, the intern will have access to projects that drive such growth and interact with key stakeholders within Product, Advertising, and Decision Sciences. The intern can apply a wide range of analytical techniques, including SQL, Python, Statistical Modeling, and Data Visualization. The intern's contribution to major Product and Advertising changes will be tangible and realized. The Intern will work closely with Experimentation Manager to conduct experimentation projects to drive incremental optimization of product and advertising experiences.
• Peacock Media Analytics: Peacock Media Analytics (part of the larger Decision Sciences team) focuses on the optimization of Cross Channel Paid, Owned and Earned media efforts. We work very closely with Media Agencies to optimize Peacock Marketing across all Marketing Channels. Our areas of interest include Media Performance Analyses, Attribution Modeling (Multi-Touch Attribution & Marketing Mix Modeling), Audience Testing and Optimization and Data Normalization across marketing platforms.
• Peacock Content Eval & Advanced Analytics: This department assesses how content is doing on the platform and helps forecast/predict how content will do in the future to ultimately identify the best content for the customers. In this internship you will be able to help assist the Content Revenue Analytics team in their day-to-day tasks: Exploration and creation of dashboards to evaluate trends of KPIs based on content, assist in the evaluation of content for forecasting and assessing customer lifetime value, and monitor content by demographics to find insights to support content evaluation.
• Peacock Data Science: This team is focused on building machine learning and statistical models to understand and predict content value and performance, customer journey and lifetime value, and developing recommendation systems. Interns will explore and transform data (e.g., cleansing, discretization, imputation, selection, generalization) to create high quality features for the modeling process. Interns develop a close partnership with the team to build real-time and automated batch pipelines for productizing data science solutions. Gain experience in using big data, relational and non-relational data sources to access data at the appropriate level of granularity for the needs of specific analytical projects.

Qualifications

Basic Requirements:
• Must be actively enrolled in a degree-granting program at an accredited institution during the length of the program.
• Current class standing of sophomore or above (30 credits).
• Must be authorized to work in the United States without visa sponsorship by NBCUniversal.
• Must be willing to work in New York, NY.
• Working knowledge of at least two of the following programming languages: R, Python, Julia, Scala or similar.
• Intermediate to advanced Excel (VLOOKUP, INDEX-MATCH, Pivot Tables).

Desired Characteristics:
• Students with class standing of junior or above preferred.
• Cumulative GPA of 3.0 or above.
• Strong interpersonal skills; must be able to work effectively as part of a project team and foster team cooperation.
• Commitment to building an inclusive work environment.
• Interest in the media industry or Demonstrated ability to thrive in a fast paced, high throughput environment. Previous experience in Digital Entertainment, Direct to Consumer, or Digital Marketing industries is preferred.
• Applied experience with ML, predictive modeling, classification models, and clustering is a plus.
• Hands on experience analyzing and mining large datasets in SQL. Advanced SQL skills preferred.
• Familiarity with Spark, Databricks and/or AWS.
• Familiarity with relational databases.
• Advanced working knowledge of statistics and its applications for inferential data analysis.
• Experience with BI visualization tools such as Domo, Tableau, Looker, or MicroStrategy.
• Prior experience with Machine Learning and/or statistical modeling.

Additional Requirements:
• Must submit an attestation disclosing your COVID-19 vaccination status and, if partially or fully vaccinated, submitting your vaccination record no later than 7 days following commencement of employment.
• Must be fully vaccinated against COVID-19 at the commencement of employment or adhere to enhanced protocols in select work settings or where jurisdictionally mandated.
• Must be willing to adhere to all Company COVID-19 workplace safety policies and protocols.

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. NBCUniversal 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 nbcunicareers.com as a result of your disability. You can request reasonable accommodations in the US by calling 1-818-777-4107 and in the UK by calling +44 2036185726.

Jobcode: Reference SBJ-g40q9y-18-191-5-239-42 in your application.