Internship Program, Data Science

Red Bull•Santa Monica, CA

About The Position

Candidates are encouraged to apply to 2 or fewer internship roles during a given internship recruiting cycle. Ever wondered how data can directly shape real-world decisions in sales, marketing, and operations? As the Data Science Intern, you’ll join a growing analytics team at an established, market-leading brand to help design, build, and deploy creative data solutions that drive business impact. You’ll apply data wrangling, advanced analytics, and visualization skills to support business partners, turning complex data into clear, actionable insights. You will have a unique opportunity to influence the foundations of our analytics environment, while collaborating closely with data scientists, data engineers, and stakeholders who value curiosity, problem-solving, and learning. If you are motivated by solving problems, making an impact with data, and curiosity for marketing and operations, this is the role for you.

Requirements

Actively enrolled in college/university as an undergraduate or graduate student
Advanced knowledge of statistics, SQL and Python (and popular packages) and popular visualization tools and techniques.
Available to work full-time (40 hours per week) for the duration of the internship
Demonstrated initiative through academics, work experience, or extracurricular involvement
Strong verbal and written communication skills
A deep love of data and high degree of data literacy gained through extensive experience working with data.
A growth mindset, with the ability to learn quickly, adapt to new environments, and incorporate feedback
Comfortable speaking with employees and managers and asking thoughtful, open-ended questions
Strong attention to detail and organizational skills, with the ability to manage multiple tasks

Nice To Haves

Previous internship experience in a Data Science role is a plus.

Responsibilities

DATA PREPERATION & VISUALIZATION Identify and gather data from internal and external sources, assess data quality, perform exploratory data analysis, and structure data appropriately for modeling and analysis.
Develop a deep understanding of our users, products, and data to uncover opportunities for machine learning, optimization, and causal inference solutions that drive business growth.
Create clear, well-structured presentations and visual materials (e.g., PowerPoint slide decks) to share analyses, recommendations, and results with stakeholders.
DATA & STATISTICAL MODELING Help build robust, data-enabled, and replicable data science models, including predictive models to forecast customer actions.
Use experimentation and causal inference techniques to measure the impact of business actions on key performance indicators.
CROSS-FUNCTIONAL COLLABORATION Collaborate with Business Intelligence and Engineering partners across the organization to design and deliver data science solutions for impactful business problems.
Communicate technical approaches, methodologies, and results to business partners in clear, easy-to-understand language, synthesizing key findings into actionable insights.