Salary for Mid-level / Intermediate Applied Scientist during 2023

Salary details

The average mid-level / intermediate Applied Scientist salary lies between USD 136,000 and USD 222,200 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 Mid-level / Intermediate Applied Scientist roles

The three most common job tag items assiciated with mid-level / intermediate Applied Scientist job listings are Machine Learning, Python and Research. 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:

Machine Learning | 21 jobs Python | 20 jobs Research | 18 jobs Deep Learning | 13 jobs Generative AI | 13 jobs Computer Vision | 12 jobs TensorFlow | 11 jobs PyTorch | 11 jobs Statistics | 11 jobs Data Mining | 9 jobs Engineering | 9 jobs PhD | 9 jobs Java | 9 jobs ML models | 8 jobs NeurIPS | 8 jobs ICML | 8 jobs GANs | 8 jobs Linux | 5 jobs Computer Science | 5 jobs R | 4 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Applied Scientist job listings are Career development, Equity / stock options and Startup environment. 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 | 18 jobs Equity / stock options | 16 jobs Startup environment | 13 jobs Health care | 12 jobs Competitive pay | 8 jobs Insurance | 8 jobs Conferences | 6 jobs Parental leave | 2 jobs Flex hours | 2 jobs Flex vacation | 2 jobs Team events | 2 jobs Relocation support | 2 jobs Medical leave | 2 jobs Paid sabbatical | 2 jobs Wellness | 1 jobs Fitness / gym | 1 jobs Pet friendly | 1 jobs Salary bonus | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Applied Scientist in AI/ML/Data Science typically comprises several components. The fixed base salary is the primary component, often constituting 70-80% of the total compensation package. Bonuses, which can be performance-based or company-wide, usually account for 10-20%. Additional remuneration may include stock options, especially in tech companies, and other benefits like health insurance, retirement contributions, and paid time off. The 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.

Steps to Increase 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 niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a higher degree, such as a Ph.D., or specialized certifications can position you for higher-paying roles.
• Leadership Roles: Transitioning into roles with leadership responsibilities, such as a team lead or project manager, can lead to salary increases.
• Networking: Building a strong professional network can open up opportunities for higher-paying positions in other companies.
• Performance Excellence: Consistently exceeding performance expectations can lead to promotions and salary raises.

Educational Requirements

Most mid-level applied scientist roles require at least a master's degree in a relevant field such as computer science, data science, statistics, or engineering. A strong foundation in mathematics and programming is essential. Some positions may also consider candidates with a bachelor's degree if they have significant experience and a proven track record in the field.

Helpful Certifications

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 your expertise in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a mid-level applied 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 software development. Experience in deploying models in production environments and working with large datasets is often highly valued.

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