Salary for Senior-level / Expert Consultant during 2024
💰 The median Salary for Senior-level / Expert Consultant during 2024 is USD 128,945
✏️ This salary info is based on 206 individual salaries reported during 2024
Salary details
The average senior-level / expert Consultant salary lies between USD 100,000 and USD 171,400 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.
- Job title
- Consultant
- Experience
- Senior-level / Expert
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 206
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Top 20 Job Tags for Senior-level / Expert Consultant roles
The three most common job tag items assiciated with senior-level / expert 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 | 983 jobs SQL | 842 jobs Consulting | 803 jobs Engineering | 788 jobs Machine Learning | 704 jobs Computer Science | 626 jobs Architecture | 549 jobs Agile | 526 jobs R | 465 jobs Azure | 461 jobs Statistics | 425 jobs AWS | 418 jobs Power BI | 414 jobs Data management | 393 jobs Security | 390 jobs Data Analytics | 381 jobs ETL | 371 jobs Big Data | 370 jobs Pipelines | 339 jobs Testing | 317 jobsTop 20 Job Perks/Benefits for Senior-level / Expert Consultant roles
The three most common job benefits and perks assiciated with senior-level / expert Consultant job listings are Career development, Flex hours and Health care. 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 | 1036 jobs Flex hours | 444 jobs Health care | 408 jobs Team events | 355 jobs Equity / stock options | 336 jobs Salary bonus | 303 jobs Competitive pay | 266 jobs Startup environment | 263 jobs Insurance | 226 jobs Parental leave | 211 jobs Flex vacation | 178 jobs Medical leave | 128 jobs Fitness / gym | 123 jobs Wellness | 85 jobs Fertility benefits | 68 jobs 401(k) matching | 67 jobs Transparency | 49 jobs Conferences | 41 jobs Flexible spending account | 41 jobs Cell phone stipend | 38 jobsSalary Composition
The salary for a Senior-level or Expert Consultant in AI/ML/Data Science typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or tied to company profits, usually make up 10-20%. Additional remuneration might include stock options, especially in tech companies, and other benefits like health insurance, retirement contributions, and professional development allowances. The composition can vary significantly depending on the region, industry, and company size. For instance, tech giants in Silicon Valley might offer substantial stock options, while companies in other regions might focus more on cash bonuses.
Increasing Salary
To increase your salary from this position, consider the following strategies:
- Specialization: Develop expertise in a niche area of AI/ML that is in high demand, such as natural language processing or computer vision.
- Leadership Roles: Transition into leadership or managerial roles, which often come with higher pay.
- Consulting: Establish yourself as a thought leader and take on consulting projects or speaking engagements.
- Networking: Build a strong professional network to learn about higher-paying opportunities.
- Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML to remain competitive.
Educational Requirements
Most senior-level positions in AI/ML/Data Science require at least a master's degree in a related field such as computer science, data science, statistics, or engineering. A Ph.D. can be advantageous, especially for roles that involve research or developing new algorithms. Employers often look for candidates with a strong foundation in mathematics and programming.
Helpful Certificates
While not always mandatory, certain certifications can enhance your profile:
- Certified Data Scientist (CDS)
- TensorFlow Developer Certificate
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
- Google Professional Machine Learning Engineer
These certifications demonstrate proficiency in specific tools and platforms, which can be appealing to employers.
Required Experience
Typically, a senior-level consultant in AI/ML/Data Science is expected to have at least 5-10 years of relevant experience. This includes hands-on experience with machine learning models, data analysis, and software development. Experience in leading projects, mentoring junior team members, and collaborating with cross-functional teams is also highly valued.
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