Salary for Executive-level / Director Data Scientist during 2021
💰 The median Salary for Executive-level / Director Data Scientist during 2021 is USD 135,936
✏️ This salary info is based on 6 individual salaries reported during 2021
Salary details
The average executive-level / director Data Scientist salary lies between USD 85,000 and USD 153,667 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
- Data Scientist
- Experience
- Executive-level / Director
- Region
- global/worldwide
- Salary year
- 2021
- Sample size
- 6
- 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 trend
Salary Composition
The salary for an Executive-level or Director Data Scientist typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The composition can vary significantly based on region, industry, and company size. In the United States, for instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and substantial equity components compared to other regions. In Europe, the base salary might be lower, but benefits such as healthcare and vacation days are often more generous. In industries like finance or healthcare, bonuses can be a significant part of the compensation package, reflecting the high stakes and impact of data-driven decisions in these fields. Larger companies might offer more comprehensive benefits and bonuses, while startups might compensate with equity and growth opportunities.
Increasing Salary
To increase your salary from a Director Data Scientist position, consider the following strategies:
- Expand Your Skill Set: Acquire new skills in emerging areas like deep learning, AI ethics, or quantum computing.
- Leadership and Management: Develop strong leadership and management skills to transition into higher executive roles such as Chief Data Officer (CDO).
- Networking: Build a robust professional network to learn about new opportunities and trends.
- Industry Specialization: Specialize in a high-demand industry such as finance, healthcare, or autonomous systems.
- Public Speaking and Publications: Establish yourself as a thought leader by speaking at conferences and publishing in reputable journals.
Educational Requirements
Most Executive-level or Director 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 industries. The educational background should provide a strong foundation in statistical analysis, machine learning, and data management.
Helpful Certifications
While not always mandatory, certain certifications can enhance your profile:
- Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
- AWS Certified Machine Learning – Specialty: Demonstrates expertise in building, training, and deploying machine learning models on AWS.
- Google Professional Machine Learning Engineer: Focuses on designing, building, and productionizing ML models.
- TensorFlow Developer Certificate: Shows proficiency in using TensorFlow for machine learning and deep learning tasks.
Required Experience
Typically, a Director Data Scientist role requires 8-12 years of experience in data science or related fields. This experience should include a proven track record of leading data science teams, managing large-scale projects, and delivering impactful data-driven solutions. Experience in strategic decision-making and cross-functional collaboration is also crucial.
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