The Busan data scientist paycheck versus what housing actually costs
Headline data scientist pay in Busan, KR is ₩46,970,000 a year, but a modeled modest 1-bedroom takes about 68% of estimated take-home. After a simplified national tax estimate, typical rent, and everyday costs, the leftover is about -₩1,462,790 a month — the number that decides whether the metro is livable on the median.
Data scientists turn raw data into insight using statistics, machine learning, and clear communication. In Busan, KR the title is noisy: some “data scientist” seats are analyst work paid near ₩46,970,000, while production ML seats push toward ₩46,970,000. The ₩46,970,000 median is the blended market, not a single job family. Employers screening data scientists in Busan, KR still list Python, SQL, Statistics, and Machine learning as core. The local band runs from about ₩31,170,000 at the 10th percentile to ₩70,800,000 at the 90th.
The percentiles on this page are observed metro figures for Data Scientist in Busan, KR, not a national median multiplied by a pay index. That matters: you are looking at how this labour market actually priced the role, including local industry mix. They are still estimates of the market — not a promise of what one employer will offer.
Busan is one of 2 South Korea metros we can compare for this role. Seoul leads this comparison at ₩71,010,000 (+51% vs Busan). Use those gaps to test a relocation thesis: a 15% cash raise that lands in a much more expensive metro can disappear in rent.
Busan’s COL index (100) sits nearer the global baseline, so headline and adjusted pay are not far apart (₩46,970,000 vs ₩46,970,000). Rent still matters: the 1-bedroom model is ₩2,258,060 / month, about 68% of take-home, with leftover near -₩1,462,790.
If you are comparing a Busan office offer with a location-flexible one, the South Korea national median for this role is about ₩93,170,000. Local pay is 50% lower — a ₩46,200,000 gap. Remote employers often anchor to the national figure; on-site employers in Busan are anchoring to this page.
World Bank consumer-price inflation for South Korea was about 2.1% in 2025; an illustrative model tied to inflation and the occupation’s outlook suggests pay has risen about 24% over the last few years. E-7 / D-8 work visa is the usual skilled-hire route (moderate for typical hires): Specialised professionals usually enter on an E-7 (or company-investment) visa sponsored by a Korean employer. At 0.9× South Korea GDP per capita, this median is below national GDP per capita — unusual for a professional median, and a reminder to check hours and setting. Unemployment was about 2.7% in 2025. None of that is tax, immigration, or career advice — run the calculators and confirm rules officially.
How to read a data scientist offer in Busan
Start with gross cash, not the recruiting headline. If an offer lands near ₩46,970,000, you are in the lower half of this metro’s observed distribution; near ₩46,970,000 you are already paid like a stronger local hire. Then subtract a realistic tax path (simplified national effective rate here is about 15%, leaving ₩39,924,500 a year) and a housing number you would actually accept — not only the ₩2,258,060 model.
Because the 90th percentile is about 2.3× the 10th, two data scientist jobs in Busan can be different careers that share a title. Ask what sits in the package (bonus, overtime, equity, on-call) before you treat ₩46,970,000 as a fair target.
Demand and the data scientist pipeline
Occupation-level employment for data scientists is projected at about +35% over ten years. That is a national sketch of demand, not a forecast that Busan will hire at that rate. Local openings still follow Busan’s industry mix — hospitals, studios, public employers, or product companies — which is already baked into the observed percentiles more than into the outlook percentage.