Salary for Mid-level / Intermediate Data Scientist in United States during 2024

Salary details

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

In the field of InfoSec/Cyber Security for a mid-level data scientist, the salary composition can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. This base salary can range from 70% to 85% of the total compensation. Bonuses are also a common component, often tied to performance metrics or company profitability, and can account for 10% to 20% of the total salary. Additional remuneration may include stock options, profit-sharing, or other incentives, which can make up the remaining 5% to 10%. In tech hubs like Silicon Valley or New York, the base salary might be higher, while bonuses and stock options are more prevalent in larger companies or startups.

Increasing Salary

To increase your salary from a mid-level position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to cybersecurity and data science. Specializing in niche areas like machine learning security or threat intelligence can make you more valuable.
• Advanced Certifications: Obtaining advanced certifications in cybersecurity or data science can demonstrate your commitment and expertise, potentially leading to higher-paying roles.
• Networking: Engage with professional networks and attend industry conferences to connect with leaders and peers. This can open up opportunities for higher-paying positions.
• Leadership Roles: Aim for roles that offer leadership responsibilities, such as team lead or project manager, which often come with higher compensation.
• Industry Transition: Consider moving to industries that pay higher salaries for cybersecurity roles, such as finance, healthcare, or technology.

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. However, a master's degree can be advantageous and is often preferred by employers, especially for roles that require a deeper understanding of data analytics and cybersecurity principles. Courses in statistics, machine learning, and information security are particularly beneficial.

Helpful Certifications

Certifications can significantly enhance your credentials in the cybersecurity field. Some of the most recognized 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+

These certifications validate your expertise and commitment to the field, making you a more attractive candidate for employers.

Required Experience

Typically, a mid-level data scientist in InfoSec/Cyber Security is expected to have 3 to 5 years of relevant experience. This experience should include hands-on work with data analysis, cybersecurity tools, and methodologies. Experience in threat detection, risk assessment, and incident response is highly valued. Additionally, familiarity with programming languages such as Python or R, and experience with data visualization tools, can be crucial.

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