Salary for Senior-level / Expert Research Analyst during 2023

Salary details

The average senior-level / expert Research Analyst salary lies between USD 63,967 and USD 160,000 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 Senior-level / Expert Research Analyst roles

The three most common job tag items assiciated with senior-level / expert Research Analyst job listings are Research, Python and Excel. 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 | 89 jobs Python | 65 jobs Excel | 47 jobs Engineering | 40 jobs Privacy | 36 jobs Consulting | 33 jobs SQL | 31 jobs Economics | 31 jobs R | 30 jobs Data analysis | 25 jobs Finance | 24 jobs Statistics | 21 jobs Market research | 18 jobs Security | 12 jobs Testing | 11 jobs Machine Learning | 10 jobs Data visualization | 10 jobs Agile | 9 jobs Econometrics | 9 jobs RDBMS | 9 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Research Analyst roles

The three most common job benefits and perks assiciated with senior-level / expert Research Analyst job listings are Career development, Flex hours and Health care. 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 | 48 jobs Flex hours | 37 jobs Health care | 27 jobs Startup environment | 24 jobs Insurance | 24 jobs Equity / stock options | 22 jobs Salary bonus | 22 jobs Competitive pay | 21 jobs 401(k) matching | 19 jobs Medical leave | 19 jobs Team events | 18 jobs Flex vacation | 16 jobs Wellness | 15 jobs Parental leave | 11 jobs Conferences | 9 jobs Fitness / gym | 7 jobs Home office stipend | 6 jobs Paid sabbatical | 5 jobs Lunch / meals | 2 jobs Flexible spending account | 2 jobs

Salary Composition

The salary for a Senior-level/Expert Research Analyst in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually constitutes 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, such as stock options, is more common in tech companies and startups, providing long-term incentives aligned with company growth.

Regional differences also play a significant role; for instance, salaries in tech hubs like Silicon Valley or New York City tend to be higher due to the cost of living and competitive job market. Industry-wise, tech companies and financial institutions often offer higher compensation packages compared to academia or non-profit organizations. Larger companies may provide more comprehensive benefits and bonuses, while smaller companies might offer more equity-based compensation.

Increasing Salary

To increase your salary from a Senior-level/Expert Research Analyst position, consider the following strategies:

• Specialization: Develop expertise in a niche area of AI/ML, such as natural language processing or computer vision, which can make you more valuable to employers.
• Leadership Roles: Transition into managerial or leadership roles, such as a team lead or project manager, which often come with higher pay.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML. Attending workshops, conferences, and pursuing further education can enhance your skills and marketability.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements

Most Senior-level/Expert Research Analyst positions in AI/ML/Data Science require at least a master's degree in a related field such as computer science, data science, statistics, or mathematics. A Ph.D. is often preferred, especially for roles focused on research and development. The advanced education provides a deep understanding of complex algorithms, statistical models, and data analysis techniques essential for the role.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Data Scientist (CDS)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer

These certifications can validate your skills in specific tools and platforms widely used in the industry.

Required Experience

Typically, a Senior-level/Expert Research Analyst position requires at least 5-10 years of experience in AI/ML or data science roles. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in leading projects or teams is also highly valued, as it demonstrates your ability to manage complex tasks and collaborate effectively.

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