Data Scientist
$115,000
avg. annual salary
Frontend Developer
pays more on average
Frontend Developer
$121,820
avg. annual salary
In today’s tech-driven world, understanding the salary landscape for various roles is crucial for both job seekers and employers. Two prominent positions in the tech industry are Data Scientist and Frontend Developer. While both roles play vital parts in a company's success, they differ significantly in terms of responsibilities, required skills, and compensation. A Data Scientist utilizes statistical methods and algorithms to analyze and interpret complex data, making data-driven decisions. Meanwhile, a Frontend Developer focuses on creating visually appealing and user-friendly websites and applications. This guide will compare the salaries, benefits, and career paths associated with these two in-demand roles, helping you make informed career decisions based on current trends and market data.
Salary by Experience Level
starting salary
starting salary
avg. difference (6%)
Salary Overview
In 2025, the average salary for a Data Scientist is estimated at $120,000, while a Frontend Developer typically earns around $95,000. These figures can vary based on factors such as location, level of experience, and the specific employer.
Data Scientists often command higher salaries due to the specialized skills required, such as proficiency in machine learning and statistical analysis.
Salary Breakdown by Experience Level
Data Scientist salaries range significantly by experience, with entry-level positions earning about $85,000. Mid-level Data Scientists can expect to make approximately $110,000, while senior-level professionals can earn upwards of $150,000.
For Frontend Developers, entry-level positions start around $65,000, mid-level roles hover around $85,000, and senior developers can earn between $110,000 and $130,000.
Benefits Comparison
Both Data Scientists and Frontend Developers typically receive competitive benefits packages, including health insurance, retirement plans, and flexible working hours. However, Data Scientists may also benefit from additional perks such as professional development opportunities and access to advanced analytics tools.
Frontend Developers might receive bonuses for performance and have opportunities to work on exciting projects with creative design aspects.
Career Path and Growth Opportunities
The career path for a Data Scientist often leads to roles such as Senior Data Scientist, Data Engineer, or even Chief Data Officer. On the other hand, a Frontend Developer can progress to positions like Senior Developer, UI/UX Designer, or even Technical Lead.
As demand for both roles continues to grow, job security and advancement opportunities are promising.
Conclusion
Choosing between a career as a Data Scientist or a Frontend Developer depends on personal interests and strengths. Both professions offer lucrative salaries and rewarding career paths, but the choice ultimately comes down to whether you prefer working with data and analytics or designing engaging user interfaces.
Detailed Salary Comparison: Data Scientist vs Frontend Developer (2025)
## Headline numbers
- •Median U.S. base salary (2025 estimates): Data Scientist — $130,000; Frontend Developer — $115,000. That’s about a 13% gap in base pay.
## Senior and total compensation
- •Senior Data Scientists (5+ years) often see base salaries of $160k–$220k, with total comp including bonuses/equity of $180k–$320k.
- •Senior Frontend Developers typically earn $140k–$190k base, total comp $150k–$260k.
## Contract and freelance rates
- •Contract Data Scientists: $60–$150/hour depending on model deployment experience.
- •Contract Frontend Developers: $40–$120/hour, higher for full-stack + TypeScript expertise.
## Geography and industry effects
- •Bay Area/NYC premiums: +30% to +50% versus national averages. Finance and healthcare pay on the higher end.
Actionable takeaway: Use role-specific market comps (e. g.
, $160k for senior DS in SF) when negotiating salary and request equity + a 10–20% signing bonus if moving from a competitor.
Key Factors That Affect Salaries
## Experience and title
- •Entry (0–2 years): Data Scientist ~$75k–$95k; Frontend Developer ~$65k–$85k.
- •Mid (2–5 years): expect a 30–60% increase versus entry.
## Technical skills and tools
- •Data Scientists: Python, SQL, ML frameworks (TensorFlow/PyTorch), model deployment (Docker, AWS SageMaker). Mastering MLOps can boost pay 10–25%.
- •Frontend Developers: React, TypeScript, performance optimization, accessibility. Full-stack skills (Node.js, databases) raise offers by ~15–30%.
## Company stage and role scope
- •Startups: lower base but larger equity; late-stage tech firms: higher base + steady bonuses.
## Location and remote options
- •Relocation to high-cost metros increases pay 20–50%; fully remote roles may pay 5–15% less but reduce living costs.
Actionable takeaway: Target the specific skill gaps that add 10–30% value (MLOps for DS, TypeScript + performance for frontend) and document project ROI when asking for a raise.