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Red Ventures · 3 months ago

2026 Launch Program: Associate Data Science Product Manager

Charlotte, NC

Full-time

Onsite

New Grad, Entry Level

Red Ventures is a portfolio of growing digital businesses focused on connecting consumers and brands through integrated e-commerce. As an Associate Data Science Product Manager, you will bridge the gap between data science initiatives and impactful product solutions, contributing to product life cycles through analytics, model building, and collaboration with cross-functional teams.

ContentDigital MediaE-CommerceHigher EducationHome ServicesMedia and EntertainmentPersonal HealthTravel

No H1B

Responsibilities

Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis

Effectively communicating recommendations to your product leads to create buy-in and action

Translate your recommendations into clear work streams and features that contribute to the product roadmap

Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead

Leverage algorithms and programming tools to execute relevant technical workstreams

This includes building items such as: Data pipelines to gather, manipulate, prepare, and visualize large datasets; Machine learning models for offline and proof-of-concept use cases; Agentic workflows to automate tasks or for reasoning capabilities for specific features in your product

End to end ownership of experiments

Assist in deploying features aimed at improving core KPIs

Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative

Promote adoption and usage of your product and tooling

Interact directly with end-users for training, feedback, and user testing

Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges

Qualification

Data analysisMachine learningStatistical programmingSQLPythonRPandasTableauCritical thinkingCreative problem solvingTeam collaboration

Required

Graduating with a bachelor's or master's degree in Summer 2026, with academic and/or practical experience in fields such as computer science, data science, statistics, or product management

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

Exposure to and/or interest in technical development of software components and production models to learn how to form opinions on level of effort and feasibility

Strong analytical and critical thinking skills

Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems

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