Research Scientist Salary in 2022
💰 The median Research Scientist Salary in 2022 is USD 144,000
✏️ This salary info is based on 15 individual salaries reported during 2022
Salary details
The average Research Scientist salary lies between USD 84,053 and USD 196,000 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
- all levels
- Region
- global/worldwide
- Salary year
- 2022
- Sample size
- 15
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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:Salary trend
Top 20 Job Tags for Research Scientist roles
The three most common job tag items assiciated with 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 | 280 jobs Machine Learning | 245 jobs Python | 188 jobs Computer Science | 177 jobs PhD | 165 jobs Deep Learning | 150 jobs Engineering | 145 jobs PyTorch | 116 jobs TensorFlow | 111 jobs Statistics | 87 jobs Mathematics | 80 jobs Computer Vision | 77 jobs R | 76 jobs NLP | 69 jobs Classification | 69 jobs NeurIPS | 55 jobs Scikit-learn | 53 jobs ICML | 48 jobs Scala | 47 jobs Excel | 45 jobsTop 20 Job Perks/Benefits for Research Scientist roles
The three most common job benefits and perks assiciated with Research Scientist job listings are Career development, Conferences and Flex hours. 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 | 190 jobs Conferences | 125 jobs Flex hours | 101 jobs Health care | 101 jobs Startup environment | 80 jobs Flex vacation | 74 jobs Parental leave | 69 jobs Medical leave | 68 jobs Team events | 64 jobs Competitive pay | 59 jobs Flexible spending account | 51 jobs Insurance | 48 jobs Yoga | 39 jobs Equity / stock options | 34 jobs Salary bonus | 27 jobs Snacks / Drinks | 21 jobs Wellness | 18 jobs Home office stipend | 17 jobs Fertility benefits | 15 jobs 401(k) matching | 9 jobsSalary Composition
The salary for a Research 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 the fixed component and usually forms the bulk of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual contributions. In regions like Silicon Valley, stock options or equity can be a substantial part of the compensation, reflecting the high-risk, high-reward nature of tech startups. In contrast, companies in more traditional industries or regions might offer a higher fixed salary with smaller bonuses and little to no equity.
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 but has a limited supply of experts.
- Leadership Roles: Transition into roles that involve leading teams or projects, as these often come with higher pay.
- Industry Switch: Move to industries that pay more for AI/ML expertise, such as finance or healthcare.
- Geographic Relocation: Consider relocating to regions with higher salary benchmarks for AI/ML roles.
- Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML to increase your value to employers.
Educational Requirements
Most Research Scientist roles 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 positions focused on cutting-edge research or in academic settings. The educational background should include a strong foundation in algorithms, data structures, machine learning, and statistical modeling.
Helpful Certifications
While not always required, certain certifications can enhance your profile:
- Certified Machine Learning Professional (CMLP)
- TensorFlow Developer Certificate
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
These certifications demonstrate proficiency in specific tools and platforms, which can be advantageous in certain roles or industries.
Experience Requirements
Typically, a Research Scientist position requires several years of experience in AI/ML or a related field. This experience often includes:
- Hands-on experience with machine learning frameworks and libraries.
- Proven track record of working on real-world data science projects.
- Experience in publishing research papers or contributing to open-source projects can be a significant advantage.
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