2026 data · 10 countries

Python / Data Science
Salary Guide

Compare Python / Data Science developers salaries by seniority level and country. See how much you can save with offshore hiring.

Python / Data Science Salary Overview

Python / Data Science is the primary language for data science used by 90%+ of data professionals worldwide. Heading into 2026, demand for Python / Data Science talent is strong, driven by Polars adoption challenging Pandas dominance and the integration of LLM tools into data workflows. Compensation has grown 8-12% annually, reflecting sustained enterprise adoption and a tightening talent market. Expertise in Pandas, NumPy, Scikit-learn commands premium rates, as organizations seek professionals who can deliver measurable results across these core capabilities. Professionals proficient with Jupyter, MLflow are particularly sought after, often commanding 10-15% above baseline rates. As enterprises accelerate their AI strategies, Python / Data Science professionals with production deployment experience — not just research backgrounds — are commanding significant premiums. Offshore hiring offers 60-75% cost savings while accessing Python / Data Science talent with strong English communication skills and proven enterprise experience.

Key Salary Drivers

Expertise in Pandas is the single highest salary driver for Python / Data Science professionals, with specialists earning 10-20% above generalists.
Holding certifications such as AWS ML Specialty, Google ML Engineer can increase earning potential by 15-25% and significantly accelerates hiring timelines.
Advanced Python data engineering skills — Polars, DuckDB, and efficient processing of billion-row datasets — command premiums over basic Pandas/NumPy proficiency as data volumes scale.
Production ML deployment experience (MLOps, model monitoring, A/B testing) commands a 20-30% premium over research-only backgrounds.
Domain-specific AI experience (NLP, computer vision, recommendation systems) drives significant salary differentiation for Python / Data Science roles.
Published research or conference presentations add prestige but the market values production track records more.

Python / Data Science Developer Rates

Monthly full-time equivalent rates. Offshore rates represent pre-vetted talent from our network.

Seniority Experience 🇺🇸 US Rate Offshore Rate Savings
Junior ML Engineer 0-2 years $10,100 – $14,600 $2,800 – $3,900 /mo ~73%
Mid ML Engineer 3-5 years $14,600 – $20,200 $3,900 – $6,200 /mo ~71%
Senior ML / AI Lead 6-9 years $20,200 – $31,400 $6,200 – $9,000 /mo ~71%
Principal / Staff 10+ years $31,400 – $44,800 $9,000 – $12,300 /mo ~72%

* Rates are approximate and based on 2026 market data. Actual rates vary by candidate experience and project scope.

Python / Data Science Rates by Country

Monthly full-time equivalent rates by seniority level across hiring countries.

Country Junior Mid-Level Senior Lead
🇺🇸 United States
$10,100 – $14,600 $14,600 – $20,200 $20,200 – $31,400 $31,400 – $44,800
🇮🇳 India
$2,800 – $3,900 $3,900 – $6,200 $6,200 – $9,000 $9,000 – $12,300
🇵🇭 Philippines
$2,600 – $3,600 $3,600 – $5,600 $5,600 – $8,100 $8,100 – $11,100
🇵🇱 Poland
$4,000 – $5,700 $5,700 – $9,000 $9,000 – $13,000 $13,000 – $17,900
🇺🇦 Ukraine
$3,500 – $4,900 $4,900 – $7,700 $7,700 – $11,200 $11,200 – $15,500
🇧🇷 Brazil
$3,200 – $4,500 $4,500 – $7,100 $7,100 – $10,300 $10,300 – $14,200
🇲🇽 Mexico
$3,100 – $4,400 $4,400 – $6,800 $6,800 – $9,900 $9,900 – $13,600
🇻🇳 Vietnam
$2,500 – $3,500 $3,500 – $5,400 $5,400 – $7,800 $7,800 – $10,900
🇷🇴 Romania
$3,900 – $5,400 $5,400 – $8,500 $8,500 – $12,300 $12,300 – $17,000
🇦🇷 Argentina
$3,000 – $4,300 $4,300 – $6,600 $6,600 – $9,600 $9,600 – $13,300
🇨🇴 Colombia
$2,800 – $3,900 $3,900 – $6,200 $6,200 – $9,000 $9,000 – $12,300

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