About the job
Associate Data Science Product Manager
Launch Program Overview:
Embark on your career journey with immediate impact! The Launch Program at Red Ventures offers a unique onboarding experience that immerses you in our culture, business model, and leadership philosophy from day one. Collaborate with fellow new team members across various roles in a supportive cohort environment, allowing you to build lasting connections as you navigate your early career. After completing your initial training, you'll integrate into one of our teams, where you'll have the chance to work closely with mentors and managers to make a significant impact and accelerate your professional growth.
We recognize that effective Data Science Product Managers bring diverse experiences and skill sets to the table. This dynamic role will provide you with hands-on experience in data science, data analysis, and product management. During your first two years, you will actively contribute to the product life cycle through analytics, roadmap development, model creation, and effective communication with product leadership.
Your Responsibilities:
As an Associate Data Science Product Manager, you will be essential in connecting complex data science projects with impactful product solutions, ultimately creating value for both our business and our customers.
- Identify opportunities to enhance product impact through a comprehensive understanding of problem areas, product strategy, technology, and advanced statistical analysis. Communicate your findings effectively to product leads to drive action.
- Translate your insights into actionable work streams and features that enhance the product roadmap. Collaborate with Data Science, Design, and Engineering teams to define clear requirements, supported by your product lead.
- Utilize algorithms and programming tools to carry out significant technical initiatives, including:
- Developing data pipelines for gathering, manipulating, and visualizing large datasets.
- Creating machine learning models for offline and proof-of-concept applications.
- Establishing automated workflows or reasoning capabilities for specific product features.
- Take ownership of experiments from start to finish. Assist in launching features that aim to improve core KPIs, conducting analyses to evaluate their impact, and taking responsibility for the outcomes.
