The opportunity
As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You’ve worked in cultures of excellence…
What you'll do
Deep dive into product and user data to derive actionable insights and size: opportunities to improve products, strategy and operations, influencing roadmaps through your insights and recommendations
Develop hypotheses, apply rigorous causal inference methods: controlled experiments, synthetic controls – and analyze the results in order make actionable recommendations
Investigate anomalies, conduct root cause analyses, and provide data-driven: insights to guide priorities and inform decisions
Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success
Build statistical models, optimization frameworks, and simulations to: automate decision-making and operational processes
Present complex technical analyses and recommendations to both technical and non-technical stakeholders
What they're looking for
- Establish foundational data practices and help scale our analytics: infrastructure to support rapid iteration and decision-making as our products grow
- + years of experience in data science or analytics roles
- Deep expertise with Python, SQL, and data visualization tools
- Expertise with experimental design, causal inference, statistical modeling,: and A/B testing frameworks, particularly in high-scale technical environments
