Salary for Senior-level / Expert Applied Scientist during 2022

💰 The median Salary for Senior-level / Expert Applied Scientist during 2022 is USD 191,737

✏️ This salary info is based on 18 individual salaries reported during 2022

Salary details

The average senior-level / expert Applied Scientist salary lies between USD 184,000 and USD 205,000 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: Applied Scientist

Experience: Senior-level / Expert

Region: global/worldwide

Salary year: 2022

Sample size: 18

Top 10%: $ 230,000

Top 25%: $ 205,000

Median: $ 191,737

Bottom 25%: $ 184,000

Bottom 10%: $ 142,000

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Salary trend

Top 20 Job Tags for Senior-level / Expert Applied Scientist roles

The three most common job tag items assiciated with senior-level / expert Applied Scientist job listings are Machine Learning, Python and Research. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:

Top 20 Job Perks/Benefits for Senior-level / Expert Applied Scientist roles

The three most common job benefits and perks assiciated with senior-level / expert Applied Scientist job listings are Career development, Conferences and Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Salary Composition

The salary for a Senior-level or Expert Applied Scientist in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is often the largest component, providing a stable income. Performance bonuses can vary significantly based on individual and company performance, and they are more prevalent in larger companies or those in competitive industries like tech or finance. Additional remuneration, such as stock options, is common in tech startups and large tech firms, offering long-term incentives aligned with company growth. Regional differences also play a role; for instance, salaries in tech hubs like Silicon Valley or New York City tend to be higher due to the cost of living and competitive job market.

Increasing Salary

To increase your salary from a Senior-level position, consider pursuing leadership roles such as a Principal Scientist or Director of Data Science. These roles often come with higher compensation and greater responsibilities. Additionally, specializing in high-demand areas like deep learning, natural language processing, or AI ethics can make you more valuable. Networking within industry circles and attending conferences can also open up opportunities for higher-paying positions. Finally, negotiating your salary during performance reviews or when switching jobs can lead to significant increases.

Educational Requirements

Most Senior-level Applied Scientist roles require at least a Master's degree in a relevant field such as Computer Science, Data Science, Statistics, or a related discipline. A Ph.D. is often preferred, especially for roles that involve cutting-edge research or complex problem-solving. The educational background should provide a strong foundation in mathematics, programming, and domain-specific knowledge relevant to the industry you are targeting.

Helpful Certificates

While not always required, certain certifications can enhance your profile. Certifications in machine learning from platforms like Coursera, edX, or Udacity can be beneficial. Additionally, certifications in cloud platforms like AWS Certified Machine Learning or Google Cloud Professional Data Engineer can be advantageous, especially if the role involves deploying models in cloud environments. These certifications demonstrate a commitment to continuous learning and expertise in specific tools and technologies.

Required Experience

Typically, a Senior-level Applied Scientist is expected to have at least 5-10 years of experience in the field. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in leading projects, mentoring junior team members, and collaborating across departments is also valuable. Industry-specific experience can be crucial, as it provides insights into the unique challenges and data types encountered in different sectors.

Related salaries

Applied Scientist @ $ 191,737 (global) Details

Applied Scientist @ $ 191,737 (United States) Details

Applied Scientist @ $ 191,737 (United States) - Senior-level / Expert Details

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