senior-data-scientist SKILL.md skillA
senior-data-scientist from borghei/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add borghei/claude-skills/senior-data-scientist@v1.1.0Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- borghei/claude-skills
- Path
engineering/senior-data-scientist/SKILL.md- Versions recorded
- 7
- Latest version
- v1.1.0, committed Sep 27, 2026
- First version recorded
- Mar 21, 2026
- Size
- 6,905 bytes
- Repository stars
- 1,075
- License
- a license file GitHub does not identify
Use when the user asks to "design an experiment", "build a predictive model", "run A/B test analysis", "perform causal inference", "engineer features", "evaluate model performance", "set up MLOps pipeline", "analyze time series", "calculate sample size", or "deploy a model to production". Expert data science covering statistical modeling, experimentation, causal inference, feature engineering, ML deployment, and advanced analytics with Python, R, and SQL.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Senior Data Scientist Expert data science for statistical modeling, experimentation, ML deployment, and data-driven decision making — A/B test design and analysis, feature engineering, model training/evaluation, production deployment, and causal inference. ## Keywords data-science, machine-learning, statistics, a-b-testing, causal-inference, feature-engineering, mlops, experiment-design, model-deployment, python, scikit-learn, pytorch, tensorflow, spark, airflow ## Core Capabilities - **Experiment design & analysis** — hypothesis framing, power analysis and sample sizing, randomization, SRM monitoring, and post-hoc significance testing. - **Feature engineering** — profiling, candidate generation (temporal/aggregation/interaction/text), selection (variance, correlation, SHAP/RFE), and leakage validation. - **Model training & evaluation** — stratified/temporal splits, baselines, hyperparameter tuning, cross-validation, calibration, and fairness checks. - **Production deployment** — containerized serving, input/output drift monitoring (KS/PSI), canary rollouts, and latency/error SLAs. …
Read the whole file at its exact version.
How to install
mdr add borghei/claude-skills/senior-data-scientist@sha256:99b0a6e69ecb1575The line at the top of this page pins the label v1.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ymydhlb5xcyutezd)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Mar 21, 2026 and Sep 27, 2026, about one every 32 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.0 latest | 2026-09-27 | f317423 | 6,905 B | A | view · diff |
| v1.1.0 | 2026-09-27 | b415b77 | 7,007 B | A | view · diff |
| v1.1.0 | 2026-09-27 | ddfd911 | 7,008 B | A | view · diff |
| v1.1.0 | 2026-06-22 | 65b93aa | 6,534 B | B | view · diff |
| v1.1.0 | 2026-06-17 | 8980a67 | 5,854 B | B | view · diff |
| v1.0.0 | 2026-03-30 | 6b5a5d8 | 16,152 B | B | view · diff |
| v1.0.0 | 2026-03-21 | deb73d4 | 16,534 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6905 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
borghei/claude-skills · 1,075 stars · license a license file GitHub does not identify · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ymydhlb5xcyutezd GET https://markdownregistry.com/api/v1/resolve?ref=borghei/claude-skills/senior-data-scientist GET https://markdownregistry.com/api/v1/blob/99b0a6e69ecb157503197b7e78374afe3509afca5347996f148c1d547550eb49
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.