Data Scientist Salary in 2024

Salary details

The average Data Scientist salary lies between USD 101,400 and USD 213,600 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: 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

The salary for a Data Scientist in InfoSec/Cyber Security typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and the specific industry. For instance, tech companies or financial institutions might offer higher bonuses compared to non-tech sectors. Additional remuneration might include stock options, especially in larger tech firms, or benefits like health insurance, retirement plans, and professional development allowances. Regional differences also play a role; for example, salaries in major tech hubs like Silicon Valley or New York City tend to be higher due to the cost of living and competitive job market.

Increasing Salary

To increase your salary from this position, consider pursuing advanced certifications or further education, such as a master's degree in a specialized area of cybersecurity or data science. Gaining expertise in emerging technologies like AI and machine learning as they apply to cybersecurity can also make you more valuable. Networking within the industry and taking on leadership roles or projects that demonstrate your ability to drive results can position you for promotions or higher-paying opportunities. Additionally, staying updated with the latest trends and threats in cybersecurity can make you indispensable to your organization.

Educational Requirements

Most positions for a Data Scientist in InfoSec/Cyber Security require at least a bachelor's degree in computer science, data science, cybersecurity, or a related field. However, many employers prefer candidates with a master's degree or higher, especially for more senior roles. A strong foundation in mathematics, statistics, and computer programming is essential, as these skills are crucial for data analysis and developing security algorithms.

Helpful Certifications

Certifications can significantly enhance your qualifications and demonstrate your commitment to the field. Some common and beneficial 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)

These certifications can help validate your skills and knowledge, making you a more attractive candidate to potential employers.

Required Experience

Typically, employers look for candidates with at least 3-5 years of experience in data science, cybersecurity, or a related field. Experience in handling large datasets, developing security protocols, and using data analytics to identify and mitigate security threats is highly valued. Experience with specific tools and technologies, such as Python, R, SQL, and machine learning frameworks, is often required.

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