by Clear Road Labs
AboutBrowseDemoBuild a TeamWhat We BuildStart with an audit

Timeback

Task-level AI analysis for 800+ occupations. A project by Clear Road Labs.

damon@clearroadlabs.com

Explore

BrowseDemoBuild a TeamWhat We Build

Company

AboutPrinciplesContact

Trust

SecurityTerms of ServicePrivacy Policy

© 2026 Clear Road Labs. Built from public occupation data and our own task-level analysis.

Data sources: U.S. Bureau of Labor Statistics · O*NET

HomeBrowseData scientists
Occupation

Data scientists

Custom AI agents built to reclaim your 124 minutes a day

We estimate how much daily time in this role sits in repeatable work AI can assist or automate.
Typically 21–223 minutes depending on your stack — the range reflects conservative and optimistic assumptions, and your selected tasks below change the custom build estimate.
This is an estimate, not a guarantee.
Start with an auditSee what the full audit looks like →

These numbers are estimates. The audit proves them on your workflow — two weeks, a ranked build plan.

What a day looks like

Instead of pulling the same numbers and rebuilding the same status views every cycle, the support layer prepares data cleaning, data exploration, and feature engineering so reporting becomes review work instead of assembly work.

Add to TeamBuild your assistant ↓
124
min/day total
Hover or tap a section to explore
Each slice shows a support area and the time it can give back.
Click to lock the detail view.

Build Your Custom Assistant

Choose the tasks you want covered, then request a custom assistant plan.

Data & Reporting

82 min/day

Keep metrics, reports, and status views current.

Documentation

37 min/day

Draft recurring records, notes, and summaries.

Intake & Triage

5 min/day

Sort incoming requests and prep the next step.

3 assistant types selected · 124 min/day · ~517 hrs/yr reclaimed

AI Agent Suite Demo

See your agents in action

Watch how each agent handles a real task in your Data scientists workday.

Data scientists · Full AI Agent Suite
A full workday for Data scientists, transformed by AI.
Data scientists's day
Total reclaimed
124 min
every single day
Data & Reporting

Lex

📊 Raw dataset loaded—duplicates flagged instantly. 🔧 Missing values handled, features engineered automatically. ✅ Model validation complete. 220 min → 68 min work.

4:00 PM · Saves 83 minutes daily
Lex is processing
INPUTS
📁 Raw dataset upload
🎯 Feature requirements
📈 Model parameters
→
AI
AI PROCESSES
🧹 Remove duplicates & nulls
⚙️ Transform into features
🔍 Validate performance metrics
→
OUTPUTS
✨ Cleaned dataset ready
🎨 Visualization dashboard
📊 Model report generated
→
HUMAN REVIEWSYour approval required

👁️ Review, approve, deploy results

DATA PROCESSING COMPLETE

▌

Before
124 min
manual work
After
41 min
to review & approve
124 minutes back every day.
$51,667 per year, per person.
Start with an auditBuild this for my Data scientists team