Senior Data Scientist, GTM

Attributes We Value: We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

Who you are: We’re looking for people who meet the minimum requirements for this role. The preferred qualifications are a plus, but not required.

Minimum qualifications:

• At least 5 years of industry experience and an advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, or related discipline).
• Demonstrated analytical intuition and structured problem-solving; skilled at translating commercial questions into focused analytics projects.
• Excellent communicator, adept at presenting complex technical concepts as actionable recommendations to diverse audiences.
• Strong hands-on experience with SQL, Python and/or R, including causal inference and revenue forecasting.
• Deep curiosity about GTM performance and customer behavior—focused on uncovering not just what changed, but why it changed.

Preferred qualifications:

• Experience with Databricks or similar cloud data platforms/warehouses.
• Familiarity with Hex or other notebook-based analysis tools.
• Experience in a high-growth startup and/or B2B business models, including CRM, sales pipeline, or RevOps data.