Principal Data Scientist Salary in 2021
💰 The median Principal Data Scientist Salary in 2021 is USD 220,000
✏️ This salary info is based on 5 individual salaries reported during 2021
Salary details
The average Principal Data Scientist salary lies between USD 173,762 and USD 235,000 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.
- Job title
- Principal Data Scientist
- Experience
- all levels
- Region
- global/worldwide
- Salary year
- 2021
- Sample size
- 5
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Salary Composition for a Principal Data Scientist
The salary for a Principal Data Scientist typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the largest portion, ranging from 60% to 80% of the total compensation package. Performance bonuses can vary significantly, often between 10% to 20%, depending on individual and company performance. Additional remuneration, such as stock options, can make up the remaining 10% to 20%, particularly in startups or large tech firms.
Regional differences also play a significant role. For instance, salaries in tech hubs like San Francisco or New York are generally higher due to the cost of living and demand for talent. Industry-wise, tech companies, finance, and healthcare tend to offer more competitive packages. Company size can also influence salary composition, with larger companies often providing more comprehensive benefits and stock options.
Steps to Increase Salary from a Principal Data Scientist Position
To increase your salary beyond the Principal Data Scientist level, consider pursuing roles such as Director of Data Science, Chief Data Scientist, or transitioning into a more strategic role like a VP of Analytics. Enhancing your leadership skills and taking on more managerial responsibilities can also be beneficial. Networking within your industry and staying updated with the latest trends and technologies can open up opportunities for higher-paying roles. Additionally, negotiating your salary during performance reviews or when taking on new responsibilities can lead to incremental increases.
Educational Requirements for a Principal Data Scientist
Most Principal Data Scientist roles require at least a master's degree in a relevant field such as Computer Science, Statistics, Mathematics, or Data Science. A Ph.D. is often preferred, especially in research-intensive roles or companies that focus heavily on innovation. The educational background should provide a strong foundation in statistical analysis, machine learning, and data modeling.
Helpful Certifications for a Principal Data Scientist
While not always mandatory, certain certifications can enhance your profile and demonstrate expertise. Certifications such as the Certified Analytics Professional (CAP), TensorFlow Developer Certificate, or AWS Certified Machine Learning can be beneficial. These certifications validate your skills in specific tools and methodologies, making you a more attractive candidate for advanced roles.
Experience Required for a Principal Data Scientist
Typically, a Principal Data Scientist is expected to have at least 8-10 years of experience in data science or related fields. This experience should include a proven track record of leading complex projects, developing machine learning models, and delivering actionable insights. Experience in managing teams and collaborating with cross-functional departments is also highly valued.
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