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

Salary details

The average mid-level / intermediate Consultant salary lies between USD 85,000 and USD 150,000 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.

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: Nov. 10, 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:

Python | 406 jobs SQL | 363 jobs Engineering | 311 jobs Consulting | 256 jobs Computer Science | 253 jobs Machine Learning | 230 jobs Statistics | 196 jobs Mathematics | 178 jobs R | 174 jobs Azure | 155 jobs Power BI | 152 jobs Architecture | 146 jobs Tableau | 144 jobs Big Data | 142 jobs Security | 136 jobs ETL | 132 jobs Research | 129 jobs Data Analytics | 126 jobs Agile | 126 jobs AWS | 123 jobs

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:

Career development | 387 jobs Team events | 165 jobs Flex hours | 152 jobs Health care | 141 jobs Startup environment | 125 jobs Equity / stock options | 103 jobs Competitive pay | 81 jobs Insurance | 76 jobs Flex vacation | 63 jobs Salary bonus | 60 jobs Fitness / gym | 50 jobs Medical leave | 50 jobs Parental leave | 40 jobs Conferences | 29 jobs Unlimited paid time off | 21 jobs 401(k) matching | 20 jobs Wellness | 17 jobs Flexible spending account | 12 jobs Travel | 10 jobs Gear | 10 jobs

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.

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