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2025 Launch Program: Data Science Product Manager Intern
Red Ventures
Fort Mill/Hybrid, SC
Advertising/Marketing/Sales
Company Information
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.
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.
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.
Qualifications
- Graduating Winter 2025 or Summer 2026 with a relevant Bachelor’s degree
- 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.
- Strong analytical and critical thinking skills
- 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.
Duties
- 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.
- 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
