2025 Launch Program: Data Science Product Manager Intern

Skip the “entry-level grunt-work,” and start making a real impact on Day 1. As part of the Red Ventures Launch program internship, you’ll find unparalleled opportunities to gain exposure to the role and learn what it’s like to work at RV over the 10-week summer internship period with the goal of getting a full-time return offer for the following summer.

You’ll start with a large cohort of interns who will be your community as you navigate the RV internship environment together. You will experience in-depth onboarding and extended training to help you learn the ropes, accelerate your growth, and further hone your skills. After getting ramped up, you will join your assigned RV team, meet your manager and mentor, and gain hands-on industry experience to invest in your career growth. Interns will also get the chance to get to know the Charlotte area and the RV culture through engagement events and social impact opportunities.

The Launch Program internship is NOT a chance to sit on the sidelines to learn how we do things. It’s your chance to dive in headfirst and take advantage of a 10-week vision into the work we do, learn from our top mentors, and get a jump start into your Red Ventures career while still in school.

This role will be based out of our South Charlotte location Monday-Thursday, with remote work on Fridays.

We believe successful Data Science Product Managers have a wide set of experiences and skill sets in the data domain. This hybrid position will give you hands-on exposure to data science, data analysis, and product management.

What You'll Do:

As a Data Science Product Manager Intern, you will play a critical supporting role in connecting data science initiatives with product solutions to deliver value to both our business and customers.

• Support the identification of opportunities to enhance product impact by gaining a foundational understanding of the problem space, product strategy, and underlying technology. Assist in analyzing user and business data to provide insights into product improvements.
• Participate actively in the end-to-end lifecycle of a specific product experiment, including planning, development, launching, data collection, analysis, and presenting findings to your team.
• Develop and apply technical skills by working on technical workstreams with mentorship. Tasks may include:
• Assisting in building data pipelines to collect, prepare, and visualize datasets
• Supporting the creation and evaluation of machine learning models in offline or proof-of-concept scenarios
• Helping create prompts or workflows involving Large Language Models (LLMs) to automate simple tasks or enhance product features

Who you are:

• Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation.
• Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles.
• Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact.
• Showcases high EQ - can collaborate effectively in a team environment.

Experiences you've had:

• Graduating with a Bachelor's degree in Winter 2025 or Summer 2026. Unfortunately, we are not able to accept Master's students at this time.
• June 2nd, 2025 start date in our Fort Mill, SC office (just outside of Charlotte, NC).
• Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau).
• Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT). Thorough knowledge in statistics and machine learning techniques.
• Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences.

Compensation and Work Perks:

• Cash Compensation Range: $3,653.84 per bi-weekly pay period
• Subsidized meals at our onsite cafe, smoothie bars and coffee bars (aka $5 for a made-to-order salad, sandwich, pizza, or sushi, or $2 for a delicious smoothie or latte)
• Premier fitness center with Peloton bikes! Tennis, pickleball and basketball courts. A yoga studio and more!
• Casual dress code – yes, that means jeans!

Who We Are

Red Ventures is a global, multi-faceted company with a start-up mentality. Founded in 2000 with a focus on establishing strategic partnerships with Fortunate 500 companies, we grew rapidly within those first 10 years, quickly becoming a unicorn by utilizing our proprietary technologies to win in the digital marketing space. In 2015, we entered the age of acquisitions and began growing our own portfolio of owned and operated businesses. Over the subsequent years we diversified the types of industries we worked in and now work with over 100 brands.

Every day, we help millions of people discover pertinent information that helps them make some of life's biggest decisions, from their health to their home to their finances, among the plethora of industries in which we operate. Whether you work with a brand you know or a brand you've never heard of, you'll know that your work is being seen and making a difference.

Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.

We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [redacted].

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