Skip to content
Agentmart
Submit a tool

senior-data-scientist

Data science workflow for turning ambiguous questions into measurable metrics, experiments, and models.

Skill by vadimcomanescu

IndexedMIT★ 25
Write a review

Chalk Labs

Need help deploying senior-data-scientist?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/vadimcomanescu-senior-data-scientist

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Data science workflow for turning ambiguous questions into measurable metrics, experiments, and models. Use when framing hypotheses, selecting metrics, designing A/B tests, building predictive models, doing error analysis, or writing experiment/model reports with clear assumptions and caveats.

Use cases: data, writing, productivity

Reviews

Write a review

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/senior-data-scientist

What's inside

Skill name
senior-data-scientist
Description
Data science workflow for turning ambiguous questions into measurable metrics, experiments, and models. Use when framing hypotheses, selecting metrics, designing A/B tests, building predictive models, doing error analysis, or writing experiment/model reports with clear assumptions and caveats.
License
MIT
Instructions
21 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (4)

  • LICENSE.txt
  • SKILL.md
  • experiment-report.md · references/
  • csv_profile.py · scripts/

SKILL.md (first lines)

# Senior Data Scientist

Be rigorous about what you’re measuring and why.

## Quick Start
1) Translate the ask into a decision: “what will we do differently based on the result?”
2) Define metrics: primary metric, guardrails, and segmentation.
3) Choose method: analysis, A/B test, causal approach, or predictive model.
4) Validate: leakage checks, baseline, error analysis, and robustness.
5) Communicate: limitations, assumptions, and next steps.

## Optional tool: quick CSV profiling (no pandas)
```bash
python ~/.codex/skills/senior-data-scientist/scripts/csv_profile.py data.csv --max-rows 50000 --out /tmp/profile.json
```

## References
- Experiment report template: `references/experiment-report.md`

From vadimcomanescu/codex-skills, MIT.

More from vadimcomanescu/codex-skills

Signals

Stars
25
Forks
8
Open issues
2
Last commit (this folder)
Jan 19, 2026 (9 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Repository
github.com/vadimcomanescu/codex-skills
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

More from vadimcomanescu

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get senior-data-scientist running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying senior-data-scientist?

CallGet help
Cite this page

senior-data-scientist skill. Agent Mart. https://agentmart.dev/skills/vadimcomanescu-senior-data-scientist (last updated 2026-10-24)