Salary for Senior-level / Expert Data Scientist during 2024

Salary details

The average senior-level / expert Data Scientist salary lies between USD 107,658 and USD 220,000 globally. 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Top 20 Job Tags for Senior-level / Expert Data Scientist roles

The three most common job tag items assiciated with senior-level / expert Data Scientist job listings are Python, Machine Learning and Cloud. 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 | 33 jobs Machine Learning | 31 jobs Cloud | 24 jobs AWS | 22 jobs SQL | 22 jobs Analytics | 18 jobs Mathematics | 15 jobs Computer Science | 14 jobs Artificial Intelligence | 12 jobs C | 12 jobs GCP | 12 jobs Big Data | 11 jobs Azure | 11 jobs PhD | 10 jobs Splunk | 9 jobs SIEM | 8 jobs Threat detection | 8 jobs Automation | 8 jobs Java | 8 jobs Clearance | 8 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Scientist roles

The three most common job benefits and perks assiciated with senior-level / expert Data Scientist job listings are Career development, Health care and Competitive pay. 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 | 35 jobs Health care | 20 jobs Competitive pay | 16 jobs Flex hours | 13 jobs Team events | 13 jobs Equity / stock options | 12 jobs Insurance | 12 jobs Medical leave | 11 jobs Flex vacation | 10 jobs Parental leave | 9 jobs Salary bonus | 9 jobs Wellness | 7 jobs 401(k) matching | 5 jobs Startup environment | 5 jobs Home office stipend | 1 jobs Unlimited paid time off | 1 jobs Flexible spending account | 1 jobs

Salary Composition

The salary for a Senior-level/Expert Data Scientist in InfoSec/Cyber Security typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is often the largest component, accounting for 70-80% of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual achievements, usually ranging from 10-20% of the base salary. Additional remuneration, such as stock options or profit-sharing, can make up the remaining 5-10%, though this varies widely based on company size and industry. In tech hubs like Silicon Valley, stock options might play a more significant role, while in regions with a lower cost of living, the base salary might be more competitive.

Increasing Salary

To increase your salary further from this position, consider pursuing leadership roles such as Chief Data Scientist or transitioning into a specialized niche within InfoSec that commands higher pay, such as AI-driven cybersecurity solutions. Networking within industry circles and attending relevant conferences can open doors to higher-paying opportunities. Additionally, negotiating your salary during performance reviews by showcasing your contributions and impact on the company can lead to significant pay raises. Continuous learning and staying updated with the latest technologies and trends in cybersecurity can also make you more valuable to your current or potential employers.

Educational Requirements

Most senior-level data scientist roles in InfoSec require at least a master's degree in a related field such as Computer Science, Data Science, Cybersecurity, or Information Technology. Some positions may prefer or require a Ph.D., especially in research-intensive roles or at leading tech companies. A strong foundation in mathematics, statistics, and computer programming is essential, and coursework or experience in machine learning, data mining, and big data technologies is highly beneficial.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your expertise in specific areas. Some valuable certifications for this role include:

• Certified Information Systems Security Professional (CISSP)
• Certified Information Security Manager (CISM)
• Certified Ethical Hacker (CEH)
• Certified Data Scientist (CDS)
• Offensive Security Certified Professional (OSCP)

These certifications can help you stand out in the job market and may be required or preferred by certain employers.

Required Experience

Typically, a senior-level data scientist in InfoSec is expected to have at least 5-10 years of relevant experience. This includes hands-on experience with data analysis, machine learning, and cybersecurity tools and technologies. Experience in leading projects, managing teams, and developing data-driven security solutions is often required. Employers also look for a proven track record of solving complex problems and delivering impactful results in previous roles.

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