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65OVR
73POT

Senior Data Scientist

6 YRS EXP

AGE 33

DEBowlers Paradise
SCR55SKL62GEO60NET35EXP60EDU55

EST. MARKET VALUE

$35.0k

EARNINGS VALUE

$3.1M

TIER

MID

Upper mid tier — a genuinely useful senior professional with proven comp momentum, one visibility push and one scarce specialty away from the top tier.

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Bid stack

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Traits

Data OperatorSQL/Python analytics, dashboards, A/B testing, data-driven decision making
Deep SpecialistPhD-level or 10+ years in one narrow domain
Open SourceMaintains or significantly contributes to recognized OSS projects

Skills

Data & AnalyticsSoftware Engineering

Score Breakdown

Age Factor
65
Scarcity
55
Skills
62
Experience
60
Education
55
Network
35
Geography
60
Languages
40
Appearance
50
Height
48
Fitness
45

Recommendations

Convert the private portfolio into public proof: one open-source release, benchmark write-up, or conference talk per year — passive visibility is the clearest gap between this profile and the 70+ bracket.
Specialise the t-shaped profile into a rare combination — e.g. domain-specific ML plus production engineering, or LLM evaluation — 'standard' skill rarity is what keeps the candidate pool in the thousands.
Reconsider the immobility constraint or lean fully into remote-first employers: being location-bound in one metro cuts the set of bidders dramatically; even continental mobility or full-remote positioning raises the transfer price.

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Data sourced from public filings and reporting. Request correction