Salary for Senior-level / Expert Associate during 2024

Salary details

The average senior-level / expert Associate salary lies between USD 75,000 and USD 130,500 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.

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 Senior-level / Expert Associate roles

The three most common job tag items assiciated with senior-level / expert Associate 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 | 768 jobs SQL | 671 jobs Engineering | 667 jobs Machine Learning | 479 jobs Data Analytics | 461 jobs Statistics | 410 jobs Data management | 403 jobs Agile | 381 jobs Computer Science | 368 jobs AWS | 359 jobs Banking | 304 jobs Research | 302 jobs Tableau | 301 jobs Business Intelligence | 297 jobs Mathematics | 277 jobs Testing | 273 jobs Architecture | 273 jobs Data analysis | 273 jobs Spark | 257 jobs Finance | 257 jobs

Top 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 Competitive pay. 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 | 864 jobs Health care | 396 jobs Competitive pay | 302 jobs Wellness | 240 jobs Flex hours | 195 jobs Team events | 152 jobs Startup environment | 148 jobs Flex vacation | 94 jobs Equity / stock options | 91 jobs Salary bonus | 81 jobs Parental leave | 76 jobs Relocation support | 58 jobs Medical leave | 57 jobs Insurance | 53 jobs Transparency | 44 jobs Conferences | 30 jobs Home office stipend | 20 jobs 401(k) matching | 19 jobs Flexible spending account | 14 jobs Gear | 12 jobs

Salary Composition

The salary for a Senior-level or Expert Associate in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. 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 profitability and individual performance metrics. Additional remuneration might include stock options, especially in tech companies or startups, and benefits like health insurance, retirement plans, and paid time off.

The composition can vary by region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and stock options, while companies in finance or healthcare might provide substantial bonuses. Larger companies often have more structured compensation packages, whereas startups might offer lower base salaries but higher equity stakes.

Increasing Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or AI ethics can make you more valuable.
• Leadership Roles: Transitioning into leadership or managerial roles can significantly boost your salary. This might involve leading a team of data scientists or managing AI projects.
• Industry Change: Moving to a higher-paying industry, such as finance or tech, can result in a salary increase.
• Networking and Visibility: Attend industry conferences, publish research, or contribute to open-source projects to increase your visibility and network with industry leaders.
• Negotiation: When offered a new position or during performance reviews, negotiate for higher pay based on your contributions and market research.

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. can be advantageous, especially for roles focused on research and development. Employers often look for candidates with a strong foundation in algorithms, data structures, and statistical modeling.

Helpful Certifications

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 beneficial in technical interviews and job applications.

Required Experience

Typically, a senior-level position requires 5-10 years of experience in data science or a related field. This experience should include hands-on work with machine learning models, data analysis, and possibly leading projects or teams. Experience in a specific industry can also be valuable, as it provides domain knowledge that can be crucial for certain roles.

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