Salary for Mid-level / Intermediate Data Scientist during 2024

Salary details

The average mid-level / intermediate Data Scientist salary lies between USD 89,500 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 Mid-level / Intermediate Data Scientist roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 24 jobs Machine Learning | 19 jobs Analytics | 18 jobs Computer Science | 15 jobs SQL | 14 jobs Cloud | 13 jobs AWS | 12 jobs Risk management | 11 jobs Big Data | 10 jobs Clearance | 10 jobs Data Analytics | 10 jobs Top Secret | 9 jobs Security Clearance | 9 jobs Splunk | 8 jobs Automation | 8 jobs Threat intelligence | 7 jobs Strategy | 7 jobs CISSP | 7 jobs Incident response | 6 jobs Azure | 6 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Scientist roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Scientist job listings are Career development, Health care and Flex hours. 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 | 11 jobs Health care | 8 jobs Flex hours | 6 jobs Equity / stock options | 5 jobs Salary bonus | 5 jobs Team events | 4 jobs Medical leave | 3 jobs Parental leave | 2 jobs Flex vacation | 2 jobs Insurance | 2 jobs Unlimited paid time off | 2 jobs Flexible spending account | 2 jobs 401(k) matching | 1 jobs Conferences | 1 jobs Relocation support | 1 jobs

Salary Composition

The salary for a mid-level/intermediate data scientist in InfoSec/Cyber Security typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is often the largest component, accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly depending on the company and individual performance, usually ranging from 10-20% of the base salary. Additional remuneration might include stock options, especially in tech companies, and benefits like health insurance, retirement contributions, and professional development allowances.

Regional differences can also impact salary composition. For instance, positions in tech hubs like Silicon Valley or New York City might offer higher base salaries and stock options due to the higher cost of living and competitive job market. Industry-wise, financial services and tech companies often provide more lucrative compensation packages compared to non-profit or government sectors. Larger companies might offer more comprehensive benefits and bonuses, while smaller companies might compensate with equity options.

Increasing Salary

To increase your salary from this position, consider pursuing advanced certifications or further education, such as a master's degree in cybersecurity or data science. Specializing in a niche area within InfoSec, like threat intelligence or cloud security, can also make you more valuable. Networking within the industry and attending relevant conferences can open up opportunities for higher-paying roles. Additionally, gaining experience in leadership or project management can position you for roles with greater responsibility and compensation.

Negotiating your salary during performance reviews or when taking on new responsibilities can also lead to an increase. Demonstrating your impact on the company's security posture or cost savings through data-driven insights can provide leverage in these discussions.

Educational Requirements

Most mid-level data scientist roles in InfoSec/Cyber Security require at least a bachelor's degree in a related field such as computer science, information technology, or data science. Some positions may prefer or require a master's degree, especially for more technical or specialized roles. Coursework in statistics, machine learning, and cybersecurity principles is often beneficial.

Helpful Certifications

Certifications can significantly enhance your qualifications and demonstrate your expertise to potential employers. Some common and valuable 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 can validate your skills and knowledge in cybersecurity and data science, making you a more competitive candidate.

Required Experience

Typically, a mid-level data scientist in InfoSec/Cyber Security is expected to have 3-5 years of relevant experience. This experience should include working with data analysis, machine learning models, and cybersecurity tools. Experience in identifying and mitigating security threats, as well as familiarity with regulatory compliance and data privacy laws, is often required.

Hands-on experience with programming languages such as Python or R, and tools like SQL, Hadoop, or Spark, is also commonly expected. Experience in a specific industry, such as finance or healthcare, can be advantageous if the role is industry-specific.

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