Applied Scientist Salary in 2022

Salary details

The average 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.

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 Applied Scientist roles

The three most common job tag items assiciated with 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:

Machine Learning | 151 jobs Python | 134 jobs Research | 126 jobs PhD | 115 jobs Engineering | 111 jobs Computer Science | 102 jobs ML models | 93 jobs Deep Learning | 90 jobs Statistics | 89 jobs Mathematics | 70 jobs NLP | 59 jobs Computer Vision | 57 jobs AWS | 49 jobs PyTorch | 45 jobs TensorFlow | 40 jobs Spark | 28 jobs Data analysis | 28 jobs Economics | 27 jobs Big Data | 26 jobs R | 23 jobs

Top 20 Job Perks/Benefits for Applied Scientist roles

The three most common job benefits and perks assiciated with 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:

Career development | 108 jobs Conferences | 74 jobs Startup environment | 33 jobs Flex hours | 31 jobs Health care | 30 jobs Equity / stock options | 27 jobs Competitive pay | 27 jobs Flex vacation | 21 jobs Team events | 20 jobs Parental leave | 18 jobs Insurance | 14 jobs Salary bonus | 14 jobs Medical leave | 13 jobs Wellness | 8 jobs Fitness / gym | 8 jobs Relocation support | 6 jobs Signing bonus | 4 jobs Snacks / Drinks | 4 jobs 401(k) matching | 3 jobs Lunch / meals | 3 jobs

Salary Composition for an Applied Scientist in AI/ML/Data Science

The salary for an 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 composition can vary significantly based on the region, industry, and company size.

• Region: In the United States, particularly in tech hubs like Silicon Valley, Seattle, or New York, the base salary tends to be higher, often complemented by substantial stock options. In Europe, the base salary might be lower, but benefits such as healthcare and vacation days are more generous.
• Industry: Tech companies, especially those in AI and machine learning, often offer higher salaries and bonuses compared to other industries like finance or healthcare. However, finance companies might offer competitive bonuses.
• Company Size: Larger companies often provide more structured compensation packages with clear bonus structures and stock options. Startups might offer lower base salaries but compensate with significant equity stakes.

Steps to Increase Salary from an Applied Scientist Position

To increase your salary from an Applied Scientist position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in the latest 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 further education, such as a Ph.D. or specialized certifications, can position you for higher-paying roles.
• Leadership Roles: Transitioning into leadership or managerial roles can significantly increase your salary. This might involve leading a team of scientists or managing projects.
• Industry Switch: Moving to a higher-paying industry, such as finance or tech, can also result in a salary increase.
• Networking and Visibility: Building a strong professional network and increasing your visibility in the field through publications or speaking engagements can open up higher-paying opportunities.

Educational Requirements for an Applied Scientist

Most Applied 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 provide a strong foundation in machine learning algorithms, statistical analysis, and data modeling.

Helpful Certifications for an Applied Scientist

While not always required, 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 in specific tools and platforms, making you more attractive to potential employers.

Experience Required for an Applied Scientist Role

Typically, an Applied Scientist role requires several years of experience in data science or machine learning. This includes hands-on experience with data analysis, model building, and deployment. Experience in handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud is often expected. Additionally, experience in a specific industry can be beneficial, as it provides domain knowledge that can be crucial for certain roles.

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