Data Scientist
Salary Guide
Data Scientists analyze complex data to help organizations make better decisions. They build predictive models, run experiments, and turn raw data into actionable insights.
Based on industry salary data. Education: Master's or PhD in CS, Statistics, Math
Top Employers
Highest Paying Companies for Data Scientist
Compensation varies significantly by company. Here are the top-paying employers for data scientist roles, including base salary, bonuses, and equity.
Total compensation including base, bonus, and equity. Data from employee reports.
By Location
Data Scientist Salary by City
Location significantly impacts salary. Tech hubs like San Francisco and Seattle offer the highest salaries, but also have the highest cost of living. Consider the cost-of-living adjusted salary when comparing offers.
Pro Tip
A $205K salary in San Francisco, CA has similar purchasing power to $140K in Boston, MA. Always negotiate based on local market data.
By Industry
Data Scientist Salary by Industry
Different industries pay different premiums for data scientist talent. Technology and finance typically offer the highest compensation, while government and nonprofit sectors pay less but may offer better work-life balance.
- Technology: $175K/yr
- Finance: $165K/yr
- Healthcare: $145K/yr
- E-commerce: $155K/yr
Skills & Qualifications
What Skills Do Data Scientists Need?
The most in-demand skills for data scientist roles in 2026. Mastering these skills can increase your earning potential by 15-30%.
Education: Master's or PhD in CS, Statistics, Math
Career Path
Data Scientist Career Trajectory
Your salary grows significantly with experience. Entry-level data scientists start around $105K, while senior professionals with 8+ years can earn $230K or more.
500K+ open positions · 36% projected growth (2024-2034)
How to Negotiate a Higher Data Scientist Salary
Use the STAR method to structure your negotiation points with concrete examples.
Research market rates
Use this page and sites like Glassdoor, Levels.fyi, and Payscale to understand the range for your role, experience, and location.
Document your achievements
Prepare 3-5 STAR stories that quantify your impact. Example: "Reduced API latency by 40%, saving $200K/year in infrastructure costs."
Practice your pitch
Use StarInterview to practice answering salary negotiation questions. Get AI feedback on clarity and confidence.
Consider total compensation
Don't just negotiate base salary. Consider equity, bonus, signing bonus, remote work flexibility, and learning budget.
Time it right
Negotiate after receiving an offer, during performance reviews, or when taking on new responsibilities.
Frequently Asked Questions About Data Scientist Salary
How much does a Data Scientist make in 2026?↓
The average Data Scientist salary in the United States is $155,280 per year ($155K/yr). The salary range is typically $122,000 to $200,000 depending on experience, location, and industry.
What is the highest paying company for Data Scientist?↓
Netflix pays the highest at $320K total compensation. Other top payers include Google and Meta.
What city pays the most for Data Scientist?↓
San Francisco, CA offers the highest average salary at $205K, but also has very high cost of living.
What skills do I need as a Data Scientist?↓
Key skills include: Python, R, SQL, Machine Learning, TensorFlow/PyTorch, Statistics, A/B Testing. Master's or PhD in CS, Statistics, Math is typically required.
What is the job outlook for Data Scientist?↓
The projected growth rate is 36% from 2024 to 2034, with approximately 500K+ current job openings in the US.
How can I increase my Data Scientist salary?↓
Focus on acquiring in-demand skills (Python, R, SQL), gaining certifications, negotiating with data, and considering higher-paying industries or locations.
Also searched as: ML Scientist, Research Scientist, Applied Scientist. Salary data compiled from industry surveys, government statistics (BLS), and employee-reported compensation data. Last updated September 2026.
Ready to negotiate your Data Scientist salary?
Practice your interview answers with AI feedback. Know your worth, then prove it.