Salary for Executive-level / Director Data Scientist in United States during 2023
💰 The median Salary for Executive-level / Director Data Scientist in United States during 2023 is USD 212,000
✏️ This salary info is based on 52 individual salaries reported during 2023
Salary details
The average executive-level / director Data Scientist salary lies between USD 175,000 and USD 250,000 in the United States. 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
- United States
- Salary year
- 2023
- Sample size
- 52
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- Median
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Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Salary trend
Top 20 Job Tags for Executive-level / Director Data Scientist roles
The three most common job tag items assiciated with executive-level / director Data Scientist job listings are Machine Learning, Python and Statistics. 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:
Machine Learning | 58 jobs Python | 49 jobs Statistics | 48 jobs Mathematics | 44 jobs Engineering | 39 jobs Research | 37 jobs Computer Science | 37 jobs SQL | 36 jobs R | 30 jobs ML models | 26 jobs PhD | 25 jobs Economics | 21 jobs Testing | 18 jobs Deep Learning | 17 jobs Spark | 17 jobs Data Analytics | 17 jobs AWS | 16 jobs Security | 16 jobs Data analysis | 16 jobs Consulting | 15 jobsTop 20 Job Perks/Benefits for Executive-level / Director Data Scientist roles
The three most common job benefits and perks assiciated with executive-level / director Data Scientist job listings are Career development, Health care and Startup environment. 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 | 50 jobs Health care | 31 jobs Startup environment | 30 jobs Competitive pay | 21 jobs Flex hours | 20 jobs Flex vacation | 19 jobs Insurance | 19 jobs Parental leave | 17 jobs Salary bonus | 17 jobs Equity / stock options | 16 jobs Medical leave | 15 jobs Wellness | 14 jobs 401(k) matching | 11 jobs Team events | 10 jobs Unlimited paid time off | 7 jobs Home office stipend | 6 jobs Conferences | 5 jobs Gear | 2 jobs Fitness / gym | 2 jobs Transparency | 2 jobsSalary Composition for Executive-Level Data Scientist Roles
In the United States, the salary for an executive-level or director data scientist role typically comprises several components. The fixed base salary is the largest portion, often accounting for 60-80% of the total compensation package. Bonuses, which can be performance-based or tied to company profits, usually make up 10-20% of the total salary. Additional remuneration may include stock options, equity, or other long-term incentives, which can vary significantly depending on the company size, industry, and region. For instance, tech companies in Silicon Valley might offer substantial equity packages, while financial firms in New York might provide higher cash bonuses. Benefits such as health insurance, retirement plans, and other perks also contribute to the overall compensation package.
Steps to Increase Salary from This Position
To increase your salary beyond the median of $212,000, consider the following strategies:
- Expand Your Skill Set: Acquire new skills in emerging areas like AI ethics, advanced machine learning techniques, or data privacy, which can make you more valuable to your organization.
- Pursue Leadership Opportunities: Take on more responsibilities, lead larger teams, or manage more significant projects to demonstrate your capability for higher-level roles.
- Network and Build Industry Connections: Engage with industry leaders, attend conferences, and participate in professional organizations to increase your visibility and open up new opportunities.
- Negotiate Effectively: When discussing compensation, be prepared with data on industry standards and your contributions to the company to negotiate better terms.
- Consider Relocation or Industry Change: Some regions or industries may offer higher salaries for similar roles, so exploring opportunities in different locations or sectors could be beneficial.
Educational Requirements
Most executive-level 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. can be advantageous, especially for roles that involve significant research components or are in highly technical industries. Additionally, a strong foundation in business administration or management can be beneficial for those looking to move into leadership positions.
Helpful Certifications
While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise. Some valuable certifications include:
- Certified Analytics Professional (CAP)
- Google Professional Machine Learning Engineer
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure Data Scientist Associate
- Data Science Council of America (DASCA) Senior Data Scientist (SDS)
These certifications can validate your skills and knowledge, making you a more competitive candidate for executive roles.
Experience Requirements
Typically, candidates for executive-level data scientist positions have at least 10-15 years of experience in data science or related fields. This experience should include a mix of technical expertise, project management, and leadership roles. Experience in a specific industry can also be crucial, as it provides context and understanding of industry-specific challenges and opportunities.
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