Description
As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by building and scaling a data-driven culture from the ground up.
You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation.
Key responsibilities include:
- Deep dive into user behavior data to provide insights on safety concerns
- Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting
- Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations
- Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics
- Build a data-driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company
Minimum qualifications include expertise in Python, SQL, and data visualization tools, a bias for action and urgency, a strong disposition to thrive in ambiguity, and a deep curiosity and energy for pulling the thread on hard questions.
Preferred qualifications include 6+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context, and 3+ years of experience deeply embedding in Product teams.