Mundevo

Data scientist · Busan, South Korea

Data scientist salary in Busan — typical band and what it buys

Mid-senior data scientist building production analytics, experimentation systems, or applied ML.

Illustrative band — not a quote. Scaled from NYC P50 by a qualitative city-pay multiplier and FX. Verify against current Levels.fyi, Glassdoor, or LinkedIn Salary Insights data before negotiation.

Data signals

What the numbers say

  • The pay band

    A data scientist in Busan typically earns around 119,907,407 KRW (mid-market), with most offers between 92,500,000 KRW and 157,592,593 KRW.

  • What it nets and supports

    After local tax the mid-market figure nets about 7,893,904 KRW/month — enough to support a premium lifestyle in Busan.

  • Versus the New York benchmark

    Pay for this role in Busan runs about 50% of the New York rate before adjusting for cost of living.

Estimated band

Data scientist gross salary in Busan

Local-currency band derived from a $87,500 NYC P50 anchor × 0.50 city multiplier × 1370.3704 KRW/USD.

P25 (gross/year)
₩92,500,000
Bottom quartile
P50 (gross/year)
₩119,907,407
Median
P75 (gross/year)
₩157,592,593
Top quartile

What ₩119,907,407 gross buys you in Busan

Net after South Korea's effective payroll deduction, mapped to Mundevo's lifestyle tiers.

Net / month at P50
₩7,893,904
After local taxes
Best supported tier
Premium
+144% headroom
Net / year at P50
₩94,726,852
Annual take-home

Required monthly net at each tier in Busan

Where the P50 salary lands across Mundevo's four lifestyle tiers.

TierRequired net / monthYour P50 net covers it?
PremiumBest fit₩3,230,556Yes
Comfortable₩2,528,333Yes
Balanced₩2,033,333Yes
Frugal₩1,538,333Yes

Who this band describes

The data scientist band covers mid-to-senior ICs (4-7 years experience). Modern usage of the title spans applied ML, experimentation/causal inference, and production analytics — the bands are similar across these specializations.

Pay is highest at tech companies with mature data platforms and at quant-driven trading/finance firms. Mid-band: enterprise SaaS, large consumer brands building in-house analytics teams, and consultancies. Pure-research data-science roles (without engineering production responsibility) tend to pay 10-15% below the band shown.

Common employer types at this band: Tech product companies, Quant/finance, Enterprise SaaS, Consumer platforms, Consultancies.

Cross-check before negotiation

Mundevo's band is derived, not surveyed. For an offer conversation, anchor on at least one of these.

  • Levels.fyi — strong coverage at public tech companies
  • Glassdoor — broader market view
  • KDnuggets / data-science surveys — annual global snapshots

Related terms

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