Economist Economists

Kode pekerjaan: 19-3011（SOC） Pekerjaan migrasi terampil Keseluruhan 6.8/10

Economists study economic issues related to the production and distribution of goods and services, using sampling techniques and econometric methods to collect and process economic and statistical data, providing a basis for policy making and business decisions.

Peringkat · Keseluruhan 6.8/10i

In the AI era: what happens to Economist

Mixed

Ahli statistik menghadapi dampak ganda otomatisasi dan peningkatan AI: tugas seperti pengaturan data dan analisis rutin digantikan, tetapi kemampuan pemilihan model, inferensi kausal, dan konsultasi lintas disiplin menjadi benteng baru; perlu meningkatkan pemahaman bisnis dan kolaborasi AI.

🤖 AI already replacing this job (tools / products / research / news)

IBM SPSS Statistics Product Partial

Menggantikan pekerjaan manual ahli statistik dalam pembersihan data, uji hipotesis, analisis regresi, dan pembuatan laporan statistik rutin.
↗ Sumber data
R Platform Partial 1993

Menggantikan pekerjaan ahli statistik dalam eksplorasi data, pemodelan statistik, dan pemrograman laporan menggunakan metode tradisional, dengan paket umum seperti ggplot2, dplyr, dll.
↗ Sumber data
AutoML (by H2O.ai) Platform Partial 2016

Menggantikan pekerjaan pemilihan model, penyetelan hiperparameter, dan validasi silang dalam model prediksi oleh ahli statistik, meningkatkan efisiensi pemodelan.
↗ Sumber data
GraphPad Prism Product Partial 1994

Menggantikan sebagian tugas ahli statistik seperti uji statistik rutin (mis. uji t, ANOVA) dan pembuatan grafik di bidang biomedis, dll.
↗ Sumber data
Google Cloud AutoML Platform Partial 2018

Menggantikan sebagian pekerjaan ahli statistik dalam pra-pemrosesan data, rekayasa fitur, dan pemilihan model, terutama cocok untuk pengguna non-ahli.
↗ Sumber data

⚠ Tasks AI will take over or replace

Pembersihan dan pra-pemrosesan data (seperti penanganan nilai hilang, penggabungan data)
Pembuatan laporan otomatis untuk uji statistik rutin (seperti uji-t, uji chi-kuadrat)
Analisis regresi dasar dan diagnosis model
Generasi otomatis visualisasi data dan pemilihan grafik
Perhitungan ukuran sampel berulang dan analisis kekuatan

↑ Tasks AI will augment

Pemilihan model statistik tingkat lanjut dan penyesuaian parameter (melalui AutoML dan optimasi Bayesian)
Inferensi kausal dan desain eksperimen (menggabungkan metode AI seperti causal forest)
Analisis data tidak terstruktur (teks, embedding statistik gambar)
Akselerasi metode Monte Carlo dan simulasi (menggunakan GPU dan komputasi terdistribusi)
Berkolaborasi dengan ahli domain untuk pembuatan hipotesis dan interpretasi hasil

🛡 Human moat

Kemampuan konsultasi statistik dan transformasi masalah lintas disiplin
Inovasi metode statistik dan kontribusi teoretis (misalnya mengembangkan estimator baru)
Kepatuhan regulasi dan tinjauan etika (seperti statistik perlindungan privasi)
Inferensi hubungan kausal yang kompleks dan kontrol variabel pengganggu
Mendidik dan melatih personel non-statistik memahami konsep statistik

Skills to build (next 5 years)

Metode inferensi kausal (DAG, instrumental variable, difference-in-differences)
Statistik Bayesian dan pemrograman probabilistik (misalnya PyMC, Stan)
Alat pemodelan berbantuan AI (AutoGluon, H2O AutoML)
Analisis data tidak terstruktur (pemrosesan bahasa alami, ekstraksi fitur gambar)
Dasar-dasar rekayasa data (SQL, cloud platform, pipeline data)
Komunikasi dan narasi data (dashboard visual, laporan interaktif)

Entry-level outlook

Posisi analisis statistik tingkat pemula (misalnya pembersihan data, statistik deskriptif dasar) berkurang secara signifikan karena meluasnya alat AI; perusahaan lebih cenderung merekrut talenta senior yang dapat mengelola proyek kompleks secara mandiri dan menjelaskan wawasan bisnis, sehingga persaingan untuk posisi junior semakin ketat.

🚀 How to level up in the AI era

Statistikawan masa depan harus fokus pada analisis bernilai tinggi: beralih dari statistik deskriptif ke inferensi kausal dan model prediktif, kuasai metode Bayesian untuk menangani ketidakpastian; pelajari AutoML dan alat deep learning, namun tekankan interpretabilitas model dan saran bisnis. Misalnya di bidang keuangan, dari menghitung VaR tingkatkan ke pembuatan simulasi stress test; di bidang medis, dari melaporkan p-value tingkatkan ke desain uji klinis adaptif.

Gaji

Pengalaman	Tahunan (USD)
Pemula (0-3 tahun)	$60,000 ~ $90,000	Starting salary for master's graduates in government or research institutions
Menengah (3-7 tahun)	$90,000 ~ $130,000	Move into consulting or finance after gaining experience.
Senior (7+ years)	$130,000 ~ $200,000	Chief Economist or Senior Policy Advisor

Jalur Pendidikan

Tahap	Durasi	Biaya (USD)
Master's degree	2 tahun	$30,000~$80,000
Doctoral degree (PhD)	5-6 years.	$0~$20,000

Kualifikasi

Kualifikasi	Penerbit
Master's degree (economics or related field)	University	Wajib
Analytical skills and statistical software proficiency	Not applicable	Opsional
Registration (very few states require)	State government	Opsional

Migrasi

Occupation classification code: 19-3011（SOC）

Visa	Detail
H-1B H-1B Specialty Occupations	Employer sponsorship requires a master's degree or equivalent experience, with limited annual quotas, commonly found in consulting and financial firms.
EB-2 Employment-Based Second Preference (EB-2)	Requires a master's degree or bachelor's + 5 years of experience, eligible for PERM labor certification, suitable for experienced economists.
O-1 O-1 Extraordinary Ability	Requires demonstrating extraordinary ability, such as major awards or high salary, rarely applicable

Cocok untuk

✓ Cocok

People who enjoy data analysis and quantitative research.
People with strong interest in macro/microeconomic policy
Analytical talent seeking careers in government, finance, or consulting

✗ Tidak cocok

Those who dislike long hours of data processing and complex models
People seeking fast promotion and short-term returns

Prospek karir

Entry-level positions typically require a master's or PhD. Career progression includes senior economist, chief economist, or economic advisor. May also transition to management roles in government, research, or financial sector.

The US Bureau of Labor Statistics projects employment growth of about 6% from 2022 to 2032, about average. Demand comes from public policy, finance, and consulting industries, but a preference for master's or doctoral degrees limits some entry-level positions.

Area pertumbuhan：
Data AnalysisPolicy ResearchFinancial ForecastingEconometrics

FAQ

What is the salary level for economists?

According to BLS, the median annual salary in 2022 was around $113,940. Entry-level ranges $60,000-$90,000, mid-level $90,000-$130,000, senior $130,000-$200,000 or more. For the federal government, the median is about $120,000.

Is it easy for economists to apply for US work visas or green cards?

Relatively easy, common H-1B and EB-2 green card paths. Requires master's degree or bachelor's + 5 years experience. Employer sponsorship is prerequisite, consulting and finance companies sponsor more.

Is the job of an economist competitive?

Moderate competition. Master's degree or higher requirement filters some candidates, but top universities and PhDs still have advantages. Government positions are more competitive.

Sumber data

Salary ranges are estimates aggregated from public listings on Indeed, Glassdoor, ERI SalaryExpert and the U.S. Bureau of Labor Statistics (BLS OEWS); employment and demand outlook cite the BLS Occupational Outlook and O*NET; visa and migration details follow the latest USCIS work-visa (H-1B / O-1 / L-1) and employment-based green-card (EB-2 / EB-3, incl. DOL PERM labor certification) rules. Figures are indicative only — always refer to the latest official sources.