Data Scientist Salary in United States during 2024

Salary details

The average Data Scientist salary lies between USD 101,400 and USD 213,600 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 2024

Top 20 Job Tags for Data Scientist roles

The three most common job tag items assiciated with Data Scientist job listings are Python, Machine Learning and Analytics. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Python | 85 jobs Machine Learning | 76 jobs Analytics | 58 jobs SQL | 58 jobs Cloud | 53 jobs Computer Science | 45 jobs AWS | 43 jobs Mathematics | 34 jobs Big Data | 29 jobs C | 24 jobs GCP | 23 jobs Clearance | 22 jobs Artificial Intelligence | 21 jobs Azure | 21 jobs Automation | 21 jobs Data Analytics | 21 jobs Splunk | 20 jobs Risk management | 20 jobs Monitoring | 19 jobs LLMs | 19 jobs

Top 20 Job Perks/Benefits for Data Scientist roles

The three most common job benefits and perks assiciated with Data Scientist job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 70 jobs Health care | 43 jobs Equity / stock options | 30 jobs Flex hours | 29 jobs Team events | 24 jobs Salary bonus | 23 jobs Competitive pay | 21 jobs Medical leave | 21 jobs Insurance | 21 jobs Flex vacation | 18 jobs Parental leave | 17 jobs 401(k) matching | 12 jobs Wellness | 11 jobs Startup environment | 8 jobs Flexible spending account | 8 jobs Transparency | 4 jobs Relocation support | 4 jobs Unlimited paid time off | 3 jobs Home office stipend | 2 jobs Gear | 1 jobs

Salary Composition

In the field of InfoSec/Cyber Security as a Data Scientist, the salary composition typically includes a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is often the largest component, making up about 70-80% of the total compensation package. Bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. In tech-heavy regions like Silicon Valley, additional remuneration such as stock options or equity can be a significant part of the package, sometimes accounting for 10-15% of the total compensation. In contrast, in regions with a lower cost of living, the base salary might be more dominant, with fewer stock options offered. Larger companies or those in the finance and tech industries tend to offer more comprehensive compensation packages compared to smaller firms or those in less competitive sectors.

Increasing Salary

To increase your salary further from this position, consider pursuing advanced certifications or specialized training in emerging areas of cybersecurity, such as cloud security or AI-driven threat detection. Networking within professional organizations and attending industry conferences can also open up opportunities for higher-paying roles. Additionally, gaining experience in leadership or project management can position you for roles with greater responsibility and higher pay. Seeking positions in high-demand regions or industries, such as finance or technology, can also lead to higher salary offers. Lastly, consider negotiating your salary during performance reviews or when taking on additional responsibilities.

Educational Requirements

Most positions in InfoSec/Cyber Security as a Data Scientist require at least a bachelor's degree in a related field such as computer science, information technology, or data science. However, a master's degree or higher in cybersecurity, data science, or a related discipline can be advantageous and is often preferred by employers. Some roles may also require coursework or experience in statistics, machine learning, or data analysis, given the data-centric nature of the position.

Helpful Certifications

Certifications can significantly enhance your qualifications and are often valued by employers. Some common and helpful certifications include:

• Certified Information Systems Security Professional (CISSP)
• Certified Information Security Manager (CISM)
• Certified Ethical Hacker (CEH)
• Certified Information Systems Auditor (CISA)
• CompTIA Security+
• Certified Data Professional (CDP) with a focus on data science or analytics

These certifications demonstrate a commitment to the field and a recognized level of expertise, which can be crucial for career advancement.

Experience Requirements

Typically, employers look for candidates with at least 3-5 years of experience in data science, cybersecurity, or a related field. Experience with data analysis, machine learning, and statistical modeling is often required, along with a strong understanding of cybersecurity principles and practices. Experience in specific industries, such as finance or healthcare, can also be beneficial, as these sectors have unique security challenges and regulatory requirements.

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