Salary for Entry-level / Junior Consultant in United States during 2024

Salary details

The average entry-level / junior Consultant salary lies between USD 71,800 and USD 118,500 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 Entry-level / Junior Consultant roles

The three most common job tag items assiciated with entry-level / junior Consultant job listings are Python, SQL and Consulting. 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 | 259 jobs SQL | 234 jobs Consulting | 225 jobs Machine Learning | 222 jobs Power BI | 152 jobs R | 148 jobs Big Data | 138 jobs Tableau | 134 jobs Computer Science | 131 jobs Azure | 126 jobs Engineering | 124 jobs Mathematics | 118 jobs AWS | 111 jobs Statistics | 108 jobs Data Analytics | 102 jobs Agile | 90 jobs Architecture | 89 jobs Security | 87 jobs Consulting firm | 79 jobs ETL | 75 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Consultant roles

The three most common job benefits and perks assiciated with entry-level / junior Consultant job listings are Career development, Competitive pay 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 | 187 jobs Competitive pay | 93 jobs Flex hours | 88 jobs Startup environment | 83 jobs Team events | 80 jobs Salary bonus | 74 jobs Health care | 59 jobs Equity / stock options | 44 jobs Insurance | 32 jobs Fitness / gym | 30 jobs Medical leave | 28 jobs Parental leave | 25 jobs Gear | 22 jobs Flex vacation | 20 jobs Conferences | 18 jobs Flexible spending account | 12 jobs 401(k) matching | 8 jobs Wellness | 7 jobs Transparency | 4 jobs Fertility benefits | 3 jobs

Salary Composition

In the United States, the salary composition for an entry-level or junior consultant in AI/ML/Data Science typically includes a fixed base salary, which forms the bulk of the compensation package. The base salary can vary significantly depending on the region, industry, and company size. For instance, tech hubs like San Francisco or New York may offer higher base salaries compared to other regions due to the higher cost of living and competitive job market.

In addition to the base salary, many companies offer performance-based bonuses. These bonuses can be annual or quarterly and are often tied to individual performance metrics or company-wide goals. Some companies, especially larger ones, may also provide stock options or equity as part of the compensation package, which can be a significant addition to the overall remuneration, particularly in startups or tech companies.

Steps to Increase Salary

To increase your salary from an entry-level position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your technical skills, especially in high-demand areas like deep learning, natural language processing, or big data technologies.

• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive and open up higher-paying opportunities.

• Networking: Build a strong professional network by attending industry conferences, joining relevant online communities, and connecting with peers and mentors in the field.

• Performance Excellence: Consistently exceed performance expectations and take on challenging projects that demonstrate your value to the organization.

• Negotiation: When the opportunity arises, negotiate for higher pay by leveraging your achievements, market research, and any competing offers.

Educational Requirements

Most entry-level positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, data science, statistics, or mathematics. Some employers may prefer candidates with a master's degree, especially for roles that require more specialized knowledge or skills. Coursework in machine learning, data analysis, programming, and statistics is highly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your resume and demonstrate your commitment to the field. Some popular certifications include:

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

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

Experience Requirements

For entry-level roles, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant projects. Experience with programming languages like Python or R, familiarity with machine learning frameworks such as TensorFlow or PyTorch, and hands-on experience with data analysis tools are often expected.

Related salaries

Want to contribute?