Salary for Executive-level / Director Data Scientist in United States during 2022

Salary details

The average executive-level / director Data Scientist salary lies between USD 159,000 and USD 222,640 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.

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: Nov. 17, 2024

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 Python, SQL and Machine Learning. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:

Python | 20 jobs SQL | 19 jobs Machine Learning | 17 jobs Engineering | 15 jobs R | 13 jobs Statistics | 13 jobs Mathematics | 13 jobs Finance | 11 jobs Research | 9 jobs Economics | 9 jobs Data Analytics | 9 jobs Consulting | 9 jobs Data management | 9 jobs Statistical modeling | 8 jobs Causal inference | 8 jobs Tableau | 7 jobs AWS | 7 jobs Spark | 5 jobs Testing | 5 jobs Data analysis | 5 jobs

Top 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, Flex vacation and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Career development | 15 jobs Flex vacation | 12 jobs Health care | 12 jobs Startup environment | 12 jobs Competitive pay | 11 jobs Insurance | 11 jobs Parental leave | 10 jobs Flex hours | 10 jobs 401(k) matching | 9 jobs Wellness | 9 jobs Unlimited paid time off | 8 jobs Team events | 4 jobs Salary bonus | 4 jobs Equity / stock options | 2 jobs Home office stipend | 2 jobs Gear | 1 jobs Conferences | 1 jobs Medical leave | 1 jobs Fertility benefits | 1 jobs

Salary Composition for Executive-Level Data Scientist Roles

The salary for an Executive-level or Director Data Scientist in the United States typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% 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, especially in tech companies or startups, and other benefits such as health insurance, retirement contributions, and paid time off. The composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and more substantial stock options, while industries like finance or healthcare might provide more significant bonuses.

Steps to Increase Salary from This Position

To increase your salary from an Executive-level Data Scientist position, consider the following strategies:

• Expand Your Skill Set: Acquiring new skills, especially in emerging technologies like AI ethics, quantum computing, or advanced machine learning techniques, can make you more valuable.
• Pursue Leadership Roles: Transitioning into a Chief Data Officer (CDO) or similar executive role can lead to higher compensation.
• Network and Build Industry Connections: Engaging with industry leaders and participating in conferences can open up opportunities for higher-paying roles.
• Negotiate Effectively: When offered a new position or during performance reviews, negotiate for higher pay, better bonuses, or more stock options.
• Consider Relocation: Moving to a region with a higher cost of living or a more competitive job market can result in a higher salary.

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. is often preferred, especially for roles that involve significant research or technical leadership. Additionally, a strong foundation in business or management, possibly through an MBA, can be advantageous for those looking to move into more strategic roles.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate 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
• TensorFlow Developer Certificate

These certifications can help validate your skills and keep you updated with the latest industry standards.

Experience Requirements

Typically, an Executive-level Data Scientist should 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 managing teams, developing data-driven strategies, and successfully implementing large-scale data projects is crucial.

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