Salary for Executive-level / Director Data Scientist during 2024
💰 The median Salary for Executive-level / Director Data Scientist during 2024 is USD 200,000
✏️ This salary info is based on 113 individual salaries reported during 2024
Salary details
The average executive-level / director Data Scientist salary lies between USD 152,311 and USD 237,500 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
- 2024
- Sample size
- 113
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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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
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, Machine Learning 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:
Python | 88 jobs Machine Learning | 77 jobs Statistics | 67 jobs SQL | 66 jobs Engineering | 59 jobs Computer Science | 50 jobs Mathematics | 43 jobs R | 40 jobs ML models | 38 jobs Research | 34 jobs Data Analytics | 32 jobs Data analysis | 31 jobs Deep Learning | 29 jobs Big Data | 29 jobs Testing | 29 jobs Data visualization | 27 jobs AWS | 26 jobs NLP | 25 jobs Tableau | 23 jobs Spark | 21 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 Team events. 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 | 82 jobs Health care | 33 jobs Team events | 27 jobs Flex hours | 26 jobs Competitive pay | 22 jobs Startup environment | 20 jobs Equity / stock options | 19 jobs Insurance | 19 jobs Salary bonus | 17 jobs Parental leave | 13 jobs Wellness | 13 jobs Medical leave | 11 jobs Flex vacation | 8 jobs 401(k) matching | 7 jobs Transparency | 7 jobs Relocation support | 3 jobs Flexible spending account | 3 jobs Home office stipend | 2 jobs Travel | 1 jobs Gear | 1 jobsSalary Composition
The salary for an Executive-level or Director Data Scientist role typically comprises a combination of a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The composition can vary significantly depending on the region, industry, and company size. In the United States, for instance, the base salary might constitute 60-70% of the total compensation, with bonuses and equity making up the rest. In regions like Europe or Asia, the base salary might be a larger portion due to different compensation structures. In larger tech companies or startups, equity can be a significant part of the package, while in more traditional industries, bonuses might be more prevalent.
Increasing Salary Further
To increase your salary beyond the median of USD 204,000, consider the following strategies:
- Expand Your Skill Set: Stay updated with the latest AI/ML technologies and methodologies. Specializing in emerging areas like deep learning, natural language processing, or AI ethics can make you more valuable.
- Leadership and Management Skills: Enhance your leadership capabilities. Taking on more strategic roles or leading larger teams can justify a higher salary.
- Networking and Industry Presence: Build a strong professional network and establish yourself as a thought leader in the field. Speaking at conferences or publishing papers can increase your visibility and value.
- Transition to High-Paying Industries: Consider moving to industries known for higher compensation, such as finance, healthcare, or tech giants.
Educational Requirements
For an Executive-level or Director Data Scientist position, a strong educational background is typically required. Most candidates hold at least a Master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Mathematics. A Ph.D. can be advantageous, especially for roles that require deep technical expertise or research capabilities. Additionally, an MBA or a similar degree can be beneficial for roles that require significant business acumen and strategic decision-making.
Helpful Certifications
While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:
- Certified Data Scientist (CDS)
- Google Professional Machine Learning Engineer
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
These certifications can validate your skills in specific platforms or methodologies and can be particularly useful if you're transitioning from a different field or looking to specialize.
Required Experience
Typically, a Director Data Scientist role requires extensive experience, often 10+ years in data science or related fields. This experience should include:
- Technical Expertise: Proven track record in developing and deploying machine learning models.
- Leadership Experience: Experience in leading data science teams and managing projects.
- Strategic Insight: Ability to align data science initiatives with business goals and drive strategic decisions.
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