Practice area · Kansas City and remote
Coding agents are a new abstraction layer for data science. The work did not disappear; it moved up. Agents can take over data preparation, feature code, proof-of-concept models and tests. The scientist keeps the questions, the causal reasoning, the review and the decision. In Vector 1's model of a data scientist's week, the same agent gives back 11.5 hours to a reviewer who catches 97% of bad steps and costs 3.5 hours when review is weak. The difference is the person directing it.
Tell us what you're trying to measure, forecast or decide. We work with teams in Kansas City and remotely, and we reply within two business days.
Email [email protected]Why a 95%-accurate agent fails most 20-step tasks, and what a verifier, retries and human escalation do to success rates and cost per completed task.
Open demo →Three common ways to measure an AI pilot, side by side on data where the true effect is known, and what each one would tell your CFO about ROI.
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Data science where AI agents carry out the execution (data preparation, feature code, proof-of-concept models, tests) and the data scientist directs and reviews it, keeping the questions, the causal reasoning and the decisions.
They can, if review is strong. In METR's 2025 randomized trial, experienced developers using AI believed they were 20% faster and were measured 19% slower. Gains depend on what is handed off and how carefully the output is checked.
Yes. Vector 1 is based in Kansas City and works with teams in the metro and remotely.