Salary for Senior-level / Expert Associate in United States during 2024
💰 The median Salary for Senior-level / Expert Associate in United States during 2024 is USD 110,200
✏️ This salary info is based on 78 individual salaries reported during 2024
Salary details
The average senior-level / expert Associate salary lies between USD 82,800 and USD 144,900 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
- Associate
- Experience
- Senior-level / Expert
- Region
- United States
- Salary year
- 2024
- Sample size
- 78
- Top 10%
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- Median
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- Bottom 25%
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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:Salary trend
Top 20 Job Tags for Senior-level / Expert Associate roles
The three most common job tag items assiciated with senior-level / expert Associate job listings are Python, Engineering and SQL. 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 | 581 jobs Engineering | 565 jobs SQL | 514 jobs Data Analytics | 400 jobs Data management | 386 jobs Machine Learning | 320 jobs Agile | 319 jobs AWS | 283 jobs Business Intelligence | 271 jobs Statistics | 261 jobs Azure | 245 jobs Computer Science | 242 jobs Architecture | 241 jobs Research | 228 jobs Testing | 226 jobs Security | 213 jobs Pipelines | 212 jobs Spark | 209 jobs Data analysis | 197 jobs ETL | 190 jobsTop 20 Job Perks/Benefits for Senior-level / Expert Associate roles
The three most common job benefits and perks assiciated with senior-level / expert Associate 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 | 707 jobs Health care | 232 jobs Flex hours | 197 jobs Competitive pay | 131 jobs Team events | 126 jobs Startup environment | 106 jobs Flex vacation | 98 jobs Salary bonus | 86 jobs Equity / stock options | 81 jobs Parental leave | 81 jobs Wellness | 63 jobs Medical leave | 62 jobs Insurance | 57 jobs Transparency | 38 jobs Relocation support | 36 jobs Home office stipend | 20 jobs 401(k) matching | 19 jobs Flexible spending account | 15 jobs Gear | 13 jobs Conferences | 11 jobsSalary Composition
In the United States, the salary composition for a Senior-level or Expert Associate role in AI/ML/Data Science typically includes a combination of base salary, bonuses, and additional remuneration such as stock options or equity. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Bonuses, which can be performance-based or company-wide, might contribute around 10-20%. Additional remuneration, such as stock options, equity, or other benefits, can make up the remaining 5-10%.
The composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and more substantial equity packages. In contrast, companies in the Midwest or South might offer lower base salaries but compensate with a higher percentage of bonuses. Large tech companies or financial institutions often provide more comprehensive compensation packages compared to startups or smaller firms.
Increasing Salary
To increase your salary from a Senior-level position, consider the following strategies:
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Specialization: Develop expertise in a niche area of AI/ML, such as natural language processing, computer vision, or reinforcement learning. Specialized skills are often in high demand and can command higher salaries.
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Leadership Roles: Transition into leadership or managerial roles, such as a team lead or director of data science. These positions typically offer higher compensation due to increased responsibilities.
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Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML. Attending workshops, conferences, and pursuing advanced certifications can enhance your skill set and marketability.
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Networking: Build a strong professional network within the industry. Networking can lead to new opportunities and insights into higher-paying roles.
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Negotiation Skills: Improve your negotiation skills to better advocate for higher compensation during job offers or performance reviews.
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 mathematics. A Ph.D. is often preferred, especially for roles that involve research or advanced algorithm development. Candidates with a strong academic background in machine learning, artificial intelligence, or data analytics are highly sought after.
Helpful Certifications
While not always mandatory, certain certifications can enhance your credentials and demonstrate expertise:
- 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 can validate your skills and knowledge, making you a more attractive candidate to potential employers.
Required Experience
Typically, a senior-level role in AI/ML/Data Science requires 5-10 years of relevant experience. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in leading projects, managing teams, or working in cross-functional environments is also highly valued. Demonstrated success in deploying AI/ML solutions in real-world applications can significantly bolster your candidacy.
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