Principal Data Scientist

What You Will Do:

• Build and own data infrastructure — pipelines, warehousing, ETL/ELT, data quality; make sure the foundation is solid.
• Analyze product usage and user behavior — identify patterns, segment users, surface what matters from the noise.
• Build models that ship — LLM-based systems, traditional ML, evaluation frameworks; whatever the problem needs.

What We Are Looking For:

• 5+ years across data science, data engineering, and analytics — you do all three, not just one.
• Strong SQL and Python — complex queries, data modeling, scripting, analysis; this is your daily toolkit.
• Product mindset — you filter signal from noise, understand user behavior, and connect analysis to product decisions.

How We Evaluate:

• Give you a real dataset and ask what you’d do with it — we want product thinking, not just technical chops.
• Walk us through a time your analysis changed a product decision.
• Design a data pipeline or model architecture on the whiteboard.