Salary for Mid-level / Intermediate Research Scientist during 2023

Salary details

The average mid-level / intermediate Research Scientist salary lies between USD 130,000 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.

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

Last updated: Nov. 24, 2024

Salary trend

Top 20 Job Tags for Mid-level / Intermediate Research Scientist roles

The three most common job tag items assiciated with mid-level / intermediate Research Scientist job listings are Research, Machine Learning and PhD. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Research | 56 jobs Machine Learning | 41 jobs PhD | 32 jobs Engineering | 29 jobs Python | 27 jobs Deep Learning | 27 jobs Computer Science | 26 jobs PyTorch | 24 jobs R | 23 jobs TensorFlow | 21 jobs Statistics | 20 jobs R&D | 16 jobs Computer Vision | 14 jobs Mathematics | 13 jobs Physics | 13 jobs Chemistry | 11 jobs NLP | 10 jobs Biology | 10 jobs Security | 9 jobs Data analysis | 9 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Research Scientist roles

The three most common job benefits and perks assiciated with mid-level / intermediate Research Scientist job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 49 jobs Health care | 35 jobs Equity / stock options | 24 jobs Startup environment | 23 jobs Insurance | 22 jobs Conferences | 20 jobs Flex hours | 18 jobs Competitive pay | 16 jobs Flex vacation | 15 jobs Parental leave | 13 jobs 401(k) matching | 11 jobs Wellness | 11 jobs Team events | 11 jobs Medical leave | 10 jobs Salary bonus | 5 jobs Gear | 4 jobs Fitness / gym | 3 jobs Relocation support | 3 jobs Home office stipend | 3 jobs Travel | 2 jobs

Salary Composition

The salary for a Mid-level/Intermediate Research Scientist in AI/ML/Data Science typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or company-wide, usually make up 10-20% of the total salary. Additional remuneration might include stock options, especially in tech companies, and other benefits such as health insurance, retirement plans, and sometimes relocation assistance. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech giants in Silicon Valley might offer substantial stock options, while companies in other regions might focus more on cash bonuses.

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 high-demand areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a Ph.D. or additional certifications can position you for higher-level roles.
• Leadership Roles: Transitioning into roles with leadership responsibilities, such as leading a research team or project, can lead to salary increases.
• Networking: Building a strong professional network can open up opportunities for higher-paying positions.
• Industry Switch: Some industries, like finance or healthcare, may offer higher salaries for AI/ML roles compared to others.

Educational Requirements

Most mid-level research scientist positions in AI/ML/Data Science require at least a Master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Mathematics. A Ph.D. is often preferred, especially for roles that focus heavily on research and development. The educational background should include a strong foundation in machine learning algorithms, statistical methods, and programming languages like Python or R.

Helpful Certificates

While not always mandatory, 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 a commitment to the field and a verified level of expertise in specific tools and platforms.

Experience Requirements

Typically, a mid-level research scientist role requires 3-5 years of experience in AI/ML or data science. This experience should include hands-on work with machine learning models, data analysis, and possibly some experience in deploying models into production. Experience in a specific industry can also be beneficial, as it provides domain knowledge that can be crucial for certain roles.

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