2026 Launch Progam: Associate Data Science Product Manager

Red Ventures • Charlotte, NC

99d

About The Position

Skip the “entry-level grunt-work” and start making a real impact on Day 1. The Launch Program is your opportunity to onboard into your full-time role at Red Ventures in a cohort-style environment that provides in-depth training on our beliefs, culture, business model, and leadership. Your first few weeks will be spent alongside a cross-functional cohort of new Red Ventures employees starting their careers across various roles and teams. These individuals will become your built-in support system and community as you navigate the start of your career with us. After your initial onboarding period, you’ll join one of our teams, meet your manager and mentor, and find unparalleled opportunities to make a substantial impact and quickly advance your career. We believe successful Data Science Product Managers have a wide set of experiences and skill sets in the data domain. This hybrid position offers you hands-on opportunities in data science, data analysis, and product management. In your first two years, you’ll get repetitions in contributing to product life cycles via product analytics, roadmap support, model building, and influential communication with product leadership.

Requirements

• Graduating with a bachelor's or master's degree in Summer 2026 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.
• Hands-on application of machine learning and/or generative AI through statistical programming languages or large language models.
• Thorough knowledge in statistics and machine learning techniques.
• Demonstrated ability to root cause problems through a data-driven approach.
• Exposure to and/or interest in technical development of software components and production models.

Nice To Haves

• Strong analytical and critical thinking skills.
• Strong grit and learning mentality when faced with challenging projects.
• Creative problem solver with an entrepreneurial mindset.
• Showcases high emotional intelligence and can collaborate effectively in a team environment.

Responsibilities

• Play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions.
• Identify opportunities to increase the impact of your product through deep understanding of the problem space and product strategy.
• Effectively communicate recommendations to product leads to create buy-in and action.
• Translate 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.
• Leverage algorithms and programming tools to execute relevant technical workstreams.
• Build data pipelines to gather, manipulate, prepare, and visualize large datasets.
• Develop machine learning models for offline and proof-of-concept use cases.
• Create agentic workflows to automate tasks or for reasoning capabilities for specific features.
• Own experiments end to end, assist in deploying features aimed at improving core KPIs, and conduct analyses to assess impact.
• Promote adoption and usage of your product and tooling, interacting directly with end-users for training, feedback, and user testing.
• Stay up-to-date with advancements in machine learning and generative AI.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees