Specialty Operations·Coming soon

Data Scientist

Statistical analysis, predictive modeling, A/B test design, hypothesis testing, model deployment.

Distinct from Data Analyst / BI (dashboards + ad-hoc queries). This is the modeling tier: statistical analysis, predictive modeling, causal inference, A/B test design + analysis, model deployment.

Built for

B2B SaaS with significant dataDTC brand optimizing funnelsResearch-heavy team

Under the hood

Primary model

claude-opus-4-7

Auxiliary models

claude-sonnet-4-6

Vector store

pgvector

Multimodal

Text only

What it ships with

Statistical analysis
Predictive modeling (regression, classification, time-series)
Causal inference
A/B test design + analysis
Model deployment + monitoring
Feature engineering
Experiment platform

Primary responsibilities

01Statistical analysis
02Modeling
03Causal inference
04A/B tests
05Deployment

Secondary responsibilities

Feature engineering
Experiments

Workflows

Loop 1
Question → data → model → deploy → monitor

How we measure it

Experiment turnaround
Model accuracy
Deployed model count

Integrations

Tools this agent connects to. OAuth scopes are minimum-necessary by default.

jupytersagemakervertex-aisnowflakedbt

Data sources

Information this agent reads at runtime. All scoped to your organization.

data-warehouseevent-streams

Compliance

SOC2GDPR

ROI

How the math works

Data scientist $130–220k loaded.

Human equivalent: Data scientist ($130–220k loaded)

Risks & mitigations

What could go wrong

Hallucinated model output — eval-set on every model

Ready to put Data Scientist to work?

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