Salary for Senior-level / Expert Research Scientist during 2022
💰 The median Salary for Senior-level / Expert Research Scientist during 2022 is USD 173,000
✏️ This salary info is based on 8 individual salaries reported during 2022
Salary details
The average senior-level / expert Research Scientist salary lies between USD 144,000 and USD 210,000 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
- Research Scientist
- Experience
- Senior-level / Expert
- Region
- global/worldwide
- Salary year
- 2022
- Sample size
- 8
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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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:Salary trend
Top 20 Job Tags for Senior-level / Expert Research Scientist roles
The three most common job tag items assiciated with senior-level / expert Research Scientist job listings are Research, Machine Learning and Python. 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:
Research | 165 jobs Machine Learning | 148 jobs Python | 118 jobs Computer Science | 107 jobs PhD | 95 jobs Engineering | 93 jobs Deep Learning | 78 jobs PyTorch | 71 jobs TensorFlow | 69 jobs Statistics | 55 jobs Mathematics | 53 jobs NLP | 43 jobs R | 41 jobs Classification | 41 jobs Computer Vision | 37 jobs Robotics | 32 jobs ML models | 30 jobs ICML | 30 jobs Scala | 29 jobs Scikit-learn | 28 jobsTop 20 Job Perks/Benefits for Senior-level / Expert Research Scientist roles
The three most common job benefits and perks assiciated with senior-level / expert Research Scientist job listings are Career development, Conferences and Health care. 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:
Career development | 123 jobs Conferences | 80 jobs Health care | 67 jobs Flex hours | 66 jobs Flex vacation | 52 jobs Parental leave | 47 jobs Medical leave | 46 jobs Competitive pay | 43 jobs Startup environment | 41 jobs Team events | 36 jobs Flexible spending account | 34 jobs Equity / stock options | 31 jobs Insurance | 29 jobs Salary bonus | 24 jobs Yoga | 21 jobs Wellness | 17 jobs Snacks / Drinks | 17 jobs Home office stipend | 15 jobs Fertility benefits | 14 jobs 401(k) matching | 7 jobsSalary Composition
The salary for a Senior-level/Expert Research Scientist in AI/ML/Data Science typically comprises a base salary, bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is the fixed component and can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City often offer higher base salaries compared to other regions. Bonuses are usually performance-based and can be a significant part of the total compensation, especially in larger companies or those in competitive industries like finance or technology. Additional remuneration might include stock options, which are more common in startups or publicly traded companies, and can add substantial value to the overall compensation package.
Increasing Salary
To increase your salary further from a Senior-level/Expert Research Scientist position, consider the following strategies:
- Specialization: Develop expertise in a niche area of AI/ML that is in high demand but has a limited supply of experts.
- Leadership Roles: Transition into leadership or managerial roles, such as leading a research team or department.
- Consulting: Offer consulting services on the side, leveraging your expertise to solve specific problems for other companies.
- Publications and Patents: Increase your visibility and credibility in the field by publishing research papers or securing patents.
- Networking: Build a strong professional network to learn about higher-paying opportunities and negotiate better offers.
Educational Requirements
Most Senior-level/Expert Research Scientist positions require a Ph.D. in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. A strong academic background with a focus on machine learning, artificial intelligence, or data science is essential. In some cases, a Master's degree with extensive experience and a proven track record of impactful research can also suffice.
Helpful Certificates
While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to continuous learning. Some valuable certifications include:
- Certified Machine Learning Professional (CMLP)
- TensorFlow Developer Certificate
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
These certifications can help validate your skills and knowledge in specific tools and platforms used in the industry.
Required Experience
Typically, a Senior-level/Expert Research Scientist role requires at least 5-10 years of experience in the field. This experience should include a strong track record of conducting independent research, publishing in reputable journals, and contributing to significant projects. Experience in leading research teams or projects and collaborating with cross-functional teams is also highly valued.
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