Salary for Mid-level / Intermediate Research Scientist during 2022

Salary details

The average mid-level / intermediate Research Scientist salary lies between USD 61,989 and USD 126,080 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 2022 and the number of open jobs that where associated with them during that period:

Research | 29 jobs Machine Learning | 21 jobs PhD | 20 jobs Python | 17 jobs Deep Learning | 17 jobs Computer Vision | 17 jobs R | 16 jobs Computer Science | 12 jobs Engineering | 11 jobs PyTorch | 10 jobs R&D | 10 jobs TensorFlow | 9 jobs Statistics | 9 jobs Classification | 6 jobs Autonomous Driving | 5 jobs Open Source | 5 jobs Matlab | 5 jobs ML models | 5 jobs Mathematics | 5 jobs NeurIPS | 5 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 Conferences. 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 | 22 jobs Health care | 13 jobs Conferences | 13 jobs Flex hours | 9 jobs Competitive pay | 9 jobs Startup environment | 7 jobs Team events | 5 jobs Equity / stock options | 3 jobs Parental leave | 3 jobs Flex vacation | 2 jobs Gear | 2 jobs Fitness / gym | 2 jobs Snacks / Drinks | 2 jobs Medical leave | 2 jobs Insurance | 2 jobs Salary bonus | 2 jobs 401(k) matching | 1 jobs Travel | 1 jobs Signing bonus | 1 jobs Yoga | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Research Scientist 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 forms the bulk 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.

Regional differences can also impact salary composition. For instance, salaries in tech hubs like Silicon Valley or New York City tend to be higher due to the cost of living and demand for talent. Industry also plays a role; finance and tech sectors often offer higher compensation packages compared to academia or non-profit organizations. Company size can influence salary as well, with larger companies typically offering more comprehensive benefits and bonuses.

Increasing Salary

To increase your salary from a Mid-level/Intermediate position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging technologies and methodologies within AI/ML. Specializing in niche areas can make you more valuable.

• Advanced Education: Pursuing further education, such as a Ph.D. or specialized certifications, can position you for higher-level roles and salary brackets.

• Networking: Building a strong professional network can open up opportunities for higher-paying positions. Attend industry conferences, join professional organizations, and engage in online forums.

• Performance and Negotiation: Consistently demonstrate high performance and be prepared to negotiate your salary during performance reviews or when offered a new position.

• Transition to High-Paying Industries: Consider moving to industries known for higher compensation, such as finance, tech, or healthcare.

Educational Requirements

Most Mid-level/Intermediate Research Scientist roles 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 research-intensive positions. The educational background should include a strong foundation in machine learning, data analysis, and programming languages like Python or R.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate expertise:

• Certified Machine Learning Professional (CMLP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate

These certifications can validate your skills and knowledge, making you more competitive in the job market.

Required Experience

Typically, a Mid-level/Intermediate Research Scientist is expected to have 3-5 years of relevant experience. This experience should include hands-on work with machine learning models, data analysis, and possibly some research publications or contributions to open-source projects. Experience in applying AI/ML solutions to real-world problems is highly valued.

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