Data Science Salary Predictor

Predict expected salary based on job title, education level, and years of experience. Trained on 6,000+ real salary records using ensemble methods.

Estimated Annual Salary (USD)

Model Comparison (R² on test set)

Linear Regression R² = 0.6514 · MAE = $23,449

Random Forest R² = 0.9584 · MAE = $4,375

Gradient Boosting ✓ R² = 0.9598 · MAE = $4,576

Trained on 6,000+ salary records. Features: job title, education, years of experience.

Methodology & Limitations

Data source: Kaggle Salary Dataset — 6,700 records with age, education, job title, and years of experience.
Title normalization: Senior/Junior/Lead prefixes were stripped — seniority is captured by years of experience instead.
Filtered to tech/data roles: Only titles related to data science, engineering, analytics, and software development are included (16 titles).
Limitations: Does not account for location, company size, equity/bonus, negotiation, or industry. Predictions represent broad trends, not individual offers.
Salary range in training data: $550 – $240,000 (median $133K). Outliers on both ends may skew predictions for edge cases.