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57OVR
74POT
Forge Skunk
JNR
AGE 25
EST. MARKET VALUE
$25.0k
EARNINGS VALUE
$2.6M
TIER
MID
A promising early-career data scientist with real momentum and dual-degree optionality, currently capped by weak network, single-market geography, and unverified depth claims.
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Bid stack
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Skills
PythonC++Hugging FaceDockerMATLABGitBash / ShellSix Sigma
Score Breakdown
Age Factor12.4%
78
Scarcity30.6%
55
Skills21.0%
62
Experience8.2%
55
Education6.2%
68
Network7.2%
30
Geography4.1%
38
Languages3.1%
25
Appearance3.1%
45
Height1.5%
52
Fitness2.6%
60
Recommendations
Publish or open-source at least one named artifact from your portfolio — a Kaggle top-placement write-up, a technical blog post, or a GitHub repo with real stars — to convert 'portfolio exists' into verifiable external signal that lifts scarcity from 'thousands' toward 'hundreds'.
Actively develop English C2 proficiency and begin engaging in international data science communities (conferences, X/LinkedIn in English) — single-language visibility in Germany alone is leaving roughly 10–15 OVR points on the table at this career stage.
Clarify the strategic purpose of the in-progress MD/JD: if it's genuinely cross-domain (e.g. health-tech DS, legal AI), lean into that combination publicly and target roles that pay a premium for it — otherwise the time cost is pure drag on your core DS compounding.
Data sourced from public filings and reporting. Request correction