Data Engineering
Data Science
You'll build predictive models that reshape business strategy, then scale teams who turn algorithms into competitive advantages. This path creates CDOs who speak both machine learning and boardroom fluently.
Career Progression
Rotational Tours · L1–L3
Build the craft. Prove you can wield the tools of Data Engineering.
Transformational Tours · L4–L7
Deliver outcomes. Each tour has a defined mission and success criteria.
Foundational Tours · L8–L10
Shape the organization. Build institutions, not just products.
What Hiring Managers Look For
L1-L3: You ship production models that actually move business metrics, not just notebooks that impress other data scientists.
L4-L6: You architect data products that scale across teams and can articulate why your technical choices directly impact company strategy.
L7+: You demonstrate how data infrastructure investments compound into sustainable competitive advantages, with specific examples of organizational transformation you've led.
Common Career Transitions
Data Science → Product at L4-L5 for customer-facing analytics ownership
Data Science → Engineering Leadership at L5-L6 for broader technical architecture scope
Data Science → Strategy/Operations at L6+ for business-critical decision making authority