Salary for Senior-level / Expert Research Analyst during 2024

Salary details

The average senior-level / expert Research Analyst salary lies between USD 95,000 and USD 175,000 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

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 Statistics. 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:

Research | 141 jobs Python | 109 jobs Statistics | 78 jobs R | 69 jobs SQL | 63 jobs Excel | 61 jobs Engineering | 59 jobs Security | 57 jobs Data analysis | 53 jobs Mathematics | 42 jobs Economics | 41 jobs Data Analytics | 35 jobs Finance | 33 jobs Data visualization | 31 jobs Computer Science | 31 jobs Power BI | 30 jobs SAS | 29 jobs Tableau | 27 jobs Machine Learning | 22 jobs PhD | 21 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, Health care and Competitive pay. 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 | 86 jobs Health care | 83 jobs Competitive pay | 52 jobs Startup environment | 42 jobs Insurance | 42 jobs Team events | 41 jobs Flex hours | 38 jobs Wellness | 37 jobs Equity / stock options | 35 jobs Flex vacation | 28 jobs Medical leave | 28 jobs Parental leave | 21 jobs Salary bonus | 16 jobs 401(k) matching | 14 jobs Conferences | 9 jobs Transparency | 7 jobs Relocation support | 6 jobs Home office stipend | 5 jobs Travel | 4 jobs Fitness / gym | 3 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 equity, especially in tech companies. The base salary is often the largest component, accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on individual and company performance. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can significantly increase total compensation, especially if the company performs well. Regional differences also play a 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 salaries compared to academia or smaller firms.

Increasing Salary

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

• Specialize in High-Demand Areas: Focus on niche areas within AI/ML, such as deep learning, natural language processing, or computer vision, which are in high demand.
• Leadership Roles: Transition into leadership or managerial roles, such as a team lead or director, which typically come with higher pay.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML to remain competitive and valuable to your employer.
• 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 pay 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 relevant 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, data structures, and statistical methods, which are crucial for success in this field.

Helpful Certifications

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

• 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, making you more attractive to potential employers.

Required Experience

Typically, a Senior-level/Expert Research Analyst role requires 5-10 years of experience in AI/ML or data science. This experience should include hands-on work with machine learning models, data analysis, and programming in languages such as Python or R. Experience in leading projects or teams, as well as a proven track record of successful implementations, is also highly valued.

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