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

💰 The median Salary for Mid-level / Intermediate Consultant in United States during 2024 is USD 111,100

✏️ This salary info is based on 104 individual salaries reported during 2024

Salary details

The average mid-level / intermediate Consultant salary lies between USD 85,600 and USD 145,000 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.

Job title: Consultant

Experience: Mid-level / Intermediate

Region: United States

Salary year: 2024

Sample size: 104

Top 10%: $ 172,000

Top 25%: $ 145,000

Median: $ 111,100

Bottom 25%: $ 85,600

Bottom 10%: $ 71,800

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 Consultant roles

The three most common job tag items assiciated with mid-level / intermediate Consultant job listings are Python, SQL and Engineering. 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:

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

The three most common job benefits and perks assiciated with mid-level / intermediate Consultant job listings are Career development, Team events 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:

Salary Composition

In the United States, the salary composition for a mid-level AI/ML/Data Science consultant typically includes a base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company’s performance and individual achievements. Additional remuneration might be more common in larger tech companies or startups, where equity or stock options are offered as part of the compensation package. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City might be higher due to the cost of living and demand for talent. Industry-wise, sectors like finance, healthcare, and technology tend to offer more competitive compensation packages.

Steps to Increase Salary

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

Skill Enhancement: Continuously update and expand your skill set, especially in emerging technologies and tools relevant to AI/ML and data science.
Advanced Education: Pursuing a master's degree or a Ph.D. in a related field can open up higher-paying opportunities.
Networking: Build a strong professional network to learn about new opportunities and gain insights into industry trends.
Leadership Roles: Aim for roles that offer leadership responsibilities, such as leading a project or a team, which often come with higher pay.
Industry Switch: Consider moving to industries that pay higher for AI/ML expertise, such as finance or healthcare.

Educational Requirements

Most mid-level AI/ML/Data Science consultant roles require at least a bachelor's degree in a related field such as computer science, data science, statistics, or engineering. However, a master's degree is often preferred and can be a significant advantage. Some positions might also require specific coursework or experience in machine learning, data analysis, or software development.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your expertise. Some valuable certifications include:

Certified Data Scientist (CDS)
Google Professional Machine Learning Engineer
Microsoft Certified: Azure AI Engineer Associate
AWS Certified Machine Learning – Specialty
TensorFlow Developer Certificate

These certifications can help you stand out in the job market and may lead to better job opportunities and higher salaries.

Required Experience

Typically, a mid-level consultant is expected to have 3-5 years of relevant experience in AI, machine learning, or data science. This experience should include hands-on work with data analysis, model development, and deployment. Experience in a specific industry can also be beneficial, as it provides domain knowledge that can be crucial for certain roles.

Related salaries

Consultant @ $ 107,600 (global) - Mid-level / Intermediate Details

Consultant @ $ 118,200 (global) Details

Consultant @ $ 127,545 (global) - Senior-level / Expert Details

Consultant @ $ 82,675 (global) - Entry-level / Junior Details

Consultant @ $ 123,000 (United States) Details

Consultant @ $ 88,500 (United States) - Entry-level / Junior Details

Consultant @ $ 131,175 (United States) - Senior-level / Expert Details

Consultant @ $ 54,999 (France) Details

Consultant @ $ 91,361 (Canada) - Mid-level / Intermediate Details

Consultant @ $ 74,000 (Canada) - Senior-level / Expert Details

Consultant @ $ 82,005 (Canada) Details

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