Salary for Mid-level / Intermediate Associate during 2024

Salary details

The average mid-level / intermediate Associate salary lies between USD 88,400 and USD 170,000 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: Dec. 22, 2024

Top 20 Job Tags for Mid-level / Intermediate Associate roles

The three most common job tag items assiciated with mid-level / intermediate Associate job listings are Python, Engineering and SQL. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Python | 2697 jobs Engineering | 2255 jobs SQL | 1928 jobs Machine Learning | 1796 jobs Computer Science | 1745 jobs Research | 1694 jobs Statistics | 1678 jobs R | 1236 jobs Mathematics | 1136 jobs Testing | 1055 jobs Data management | 1011 jobs Data analysis | 997 jobs Agile | 939 jobs Security | 910 jobs AWS | 909 jobs Finance | 899 jobs Excel | 896 jobs Data Analytics | 874 jobs Tableau | 821 jobs Architecture | 815 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Associate job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 2934 jobs Health care | 1289 jobs Flex hours | 1165 jobs Team events | 856 jobs Competitive pay | 785 jobs Startup environment | 733 jobs Insurance | 603 jobs Equity / stock options | 589 jobs Flex vacation | 578 jobs Wellness | 558 jobs Parental leave | 473 jobs Salary bonus | 472 jobs Medical leave | 385 jobs Conferences | 265 jobs Relocation support | 247 jobs Transparency | 217 jobs 401(k) matching | 209 jobs Fitness / gym | 144 jobs Home office stipend | 84 jobs Flexible spending account | 83 jobs

Salary Composition

The salary for a mid-level AI/ML/Data Science role typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 10% to 20% of the base salary. Additional remuneration, like stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations or financial sectors, bonuses might be more substantial, reflecting the company's profitability. Regional differences also play a role; for instance, salaries in major tech hubs like San Francisco or New York are generally higher than in other regions due to the cost of living and competitive job market.

Increasing Salary

To increase your salary from a mid-level position, consider pursuing advanced roles such as Senior Data Scientist, Machine Learning Engineer, or AI Specialist. This often requires gaining deeper expertise in specialized areas like deep learning, natural language processing, or big data analytics. Networking within the industry and seeking mentorship can provide insights into career advancement opportunities. Additionally, taking on leadership roles in projects or teams can demonstrate your capability to handle more responsibility, which is often rewarded with higher pay. Continuous learning and staying updated with the latest technologies and methodologies in AI/ML can also make you more valuable to your employer.

Educational Requirements

Most mid-level AI/ML/Data Science positions require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex problem-solving and research. These advanced degrees provide a deeper understanding of algorithms, data structures, and statistical models, which are crucial for developing effective AI solutions. Some positions may also value interdisciplinary knowledge, such as combining computer science with domain-specific expertise.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Data Scientist (CDS): Offered by various institutions, this certification covers essential data science skills and tools.
• TensorFlow Developer Certificate: Validates your ability to build and deploy machine learning models using TensorFlow.
• AWS Certified Machine Learning – Specialty: Focuses on designing and implementing machine learning solutions on the AWS platform.
• Microsoft Certified: Azure AI Engineer Associate: Demonstrates proficiency in using Azure AI services to build and integrate AI solutions.

These certifications can help differentiate you from other candidates and may lead to better job opportunities and salary prospects.

Required Experience

Typically, a mid-level position requires 3 to 5 years of experience in data science, machine learning, or a related field. This experience should include hands-on work with data analysis, model development, and deployment. Familiarity with programming languages such as Python or R, and tools like TensorFlow, PyTorch, or Scikit-learn, is often expected. Experience in handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud can also be advantageous.

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