We’re hiring a Senior Data Scientist, Decisioning to improve the systems that determine how Pivotal makes high-value decisions in core workflows.
This role is for someone with a strong applied data science or optimization background who wants to work on real production systems, not just offline analysis. You’ll operate at the intersection of data, experimentation, modeling, economics, and software. The work may span areas like the offer engine, feedback loops for model and rule improvements, configurable decision systems, experimentation on operational workflows, and other products where better decision quality directly improves business outcomes.
We’re especially interested in candidates who have worked on hard decisioning problems in environments like marketplaces, pricing and revenue optimization, lending and credit, ad tech, bidding systems, or other domains where experimentation, optimization, and operating constraints all matter at once.
This is not a research-only role. We want someone who can think deeply, work rigorously, and still move quickly from analysis and modeling into production changes with measurable impact.
We also want someone who is AI-first in their own workflow. The right person will use AI actively for exploration, analysis, iteration, experimentation, and engineering support, and will help the team build a strong AI-native way of working.