Red Ventures is looking to bridge the gap between complex data science initiatives and impactful product solutions to create value for both the business and its customers.
Requirements
- 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.
- Leverage algorithms and programming tools to execute relevant technical workstreams.
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.
- 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.
- Building items such as: Data pipelines to gather, manipulate, prepare, and visualize large datasets
- Building items such as: Machine learning models for offline and proof-of-concept use cases
- Building items such as: Agentic workflows to automate tasks or for reasoning capabilities for specific features in your product
Other
- 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.
- 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.
