Senior Staff Data Scientist, Mid-Market Product Growth

What you'll do

• Influence product strategy by conducting deep-dive analyses on customer segmentation, funnel optimization, and product adoption.
• Establish the measurement architecture and key success metrics to evaluate the health of the mid-market product ecosystem.
• Design complex experiments and apply causal inference methodologies like Propensity Score Matching and Difference-in-Differences.
• Develop ML models and LLM applications to integrate intelligent personalization and generative AI features into the customer experience.
• Identify new business opportunities across the customer funnel using data mining and first-principles thinking.
• Create reusable analytical frameworks and tools to improve decision-making at scale.
• Supervise and mentor a team of 3-5 senior to staff data scientists.

What we're looking for

• Minimum Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics.
• 8+ years of experience in data science, product analytics, or related fields with a track record of driving business impact.
• Experience in B2B SaaS or fintech (preferred).
• Expert-level proficiency in SQL and complex data modeling.
• Advanced practical experience applying machine learning and LLMs/GenAI workflows to real-world product problems.
• High proficiency in AI-native data science tech stack including Claude, Cursor, Codex, MCPs, CLIs, and APIs.
• Deep expertise in experimentation, causal inference, and advanced customer segmentation.
• Exceptional storytelling and stakeholder influence skills to communicate complex data concepts to non-technical audiences.