Shane Butler
Sravya Madipalli
Hai Guan
Free Lesson

Climb from Senior to Staff and Principal in Data with AI

Part of Analytics Interviews and Career Growth with AI

60 min
Dec 9, 2026 1:00 PM

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What you'll learn

See what changes from senior to staff to principal

Senior delivers hard projects. Staff finds and scopes problems across teams. Principal sets direction for the org.

Find a staff-sized problem instead of waiting for one

Spot the cross-team problem nobody owns, scope it, and write it up so leaders want it solved.

Use writing as your leverage

Strategy docs, one-page proposals, and reviews are how senior ICs move work they do not own.

Multiply other people's work with AI

Reusable tools, standards, and AI workflows the whole team uses count as staff-level impact.

Why this topic matters

Most senior data scientists try to reach staff by doing senior work harder: more projects, harder models, longer hours. Staff is a different job. It is judged on scope you found, direction you set, and how much better other people's work got because of you. This session maps the senior, staff, and principal expectations, the common shapes a staff role takes, and how to build evidence for the next rung.

You'll learn from

Shane Butler

Shane Butler

Co-founder, AI Analyst Lab

Sravya Madipalli

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Hai Guan

Hai Guan

Co-Founder, AI Analyst Lab

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